Hyatt Regency Washington on Capitol Hill – …Program Summary 10 – 15 Scientific Program 17 – 61 Special Thanks 63 Presidential Invited Speaker 64 IMS Tweedie Lecturer 65 Short

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Hyatt Regency Washington on Capitol Hill – Washington, DC

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Preliminary Program

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With the help of many of you, we have assembled scientific and educational programs we hope you will find exciting. We introduce two new program initiatives, and advance a student initiative begun last year, to broadly incorporate and recognize our members’ contributions. We will host old favorites including a Young Investigator Workshop, a Diversity Workshop, roundtables, student paper awards and a networking and social event. Finally, our site of Washington, DC, with disclosure that I am a native, can be glorious during our early spring meeting dates. Our hotel sits in sightline of the Capitol Building. The 2012 meeting occurs in the heart of the 100th National Cherry Blossom Festival.

Our Program Chair, Debashis Ghosh of Penn State University, Co-Chair Jonathan Schildcrout of Vanderbilt University, and their Program Committee have assembled a roster of invited sessions to appeal to a broad variety of scientific interests. Topics span clinical trial design and analysis, causal inference, high-dimensional and functional data analysis, genomics, risk prediction and diagnosis, general methodology, and specific application areas spanning diseases to environmental epidemiology to health policy. Additionally we will have special sessions featuring noteworthy papers from the Journal of Agricultural, Biological and Environmental Statistics, surveying grant funding opportunities, and commemorating our colleague who made so many contributions to his colleagues and students, ENAR and our profession, Tom TenHave. Sincere thanks go to Debashis, Jonathan, their committee–representing ENAR, IMS, and eight ASA Sections, and the many who submitted invited paper proposals.

I am particularly excited about our Presidential Invited Address, “Engaging, Inspiring, and Training the Next Generation: Past Successes, Future Challenges and Opportunities,” to be given by Professor Marie Davidian of the North Carolina State University. Among honors too numerous to recount here, Professor Davidian is our former ENAR President (2004), President-elect-elect of the American Statistical Association, and the recipient of two COPSS awards. Professor Davidian’s contributions to our profession span statistical discovery, advancement of scholarship in pharmacokinetics, pharmacodynamics, and clinical research, outstanding mentorship of junior researchers, vigorous efforts to attract students for our field, and extensive service in ENAR, our other societies, and national panels. Informed as she is by these wide ranging and dedicated perspectives, I could not imagine a leader among us to better stimulate or energize our thinking on the challenges, opportunities and future for our field both generally and as they relate to attracting talented students to our profession. I thank her for her willingness to share her thoughts with us. Additionally, we are fortunate that the IMS will be hosting a first with us: The recently established IMS Tweedie Lecture recognizing an outstanding researcher within five years of receiving his or her doctoral degree. Congratulations to our Tweedie lecturer, Hui Zou of the University of Minnesota.

Our 2012 Spring Meeting has much to offer for scholars of all ages. ENAR is proud to offer an outstanding array of short courses and tutorials across topics ranging from cutting-edge general biostatistical methodology, to clinical trials and translation, to biological applications, to computing and software implementation. Additionally roundtables offer discussion opportunities relating to professional development, specialized methodology, and advancement

of our field for statisticians in academia, industry and the federal government. Sincere thanks for their help in brainstorming and identifying these outstanding offerings to our 2012 Educational Advisory Committee of Brad Carlin, Dean Follmann, Joe Hogan, Gene Pennello, and Jose Pinheiro, as well as RAB. We hope you will partake of the outstanding learning and networking opportunities to occur. For those of you who are emerging into our profession, we have planned many additional opportunities. The ENAR Regional Advisory Board has established a Graduate Student and Recent Graduate Council to help ENAR better address the needs of students and recent graduates. This council is organizing ENAR’s first-ever student-organized invited session. Other events for our student registrants include a Monday evening student mixer, our new RAB Poster Awards, and of course ENAR’s annual student paper competition. In addition, we will host both of our two extremely popular workshops for prospective and emerging statisticians at our meeting: On Saturday, our Workshop for Junior Investigators, and on Sunday, a Diversity Workshop. In recent years both of these workshops have filled to capacity very quickly, so that interested attendees should be sure to register early. Finally, for those seeking employment, don’t miss our ever-growing Career Placement Center.

We hope you will join us in the networking and social event we have planned for Tuesday evening of the meeting: A dinner outing to the Mount Vernon site featuring private access to the Donald W. Reynolds Museum and Education Center. Our site visiting team was delighted by this outstandingly well done and engaging museum facility on the life and living environment of George Washington.

The Eastern North American Region of the International

Biometric Society welcomes you to our 2012 Spring

Meeting to be held April 1–4 in Washington, DC together

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The drive out along Washington’s lovely George Washington Parkway, dinner, and museum time to be offered by the event present opportunity to network with colleagues in a beautiful setting: We hope that many of you will join us! Please see page 5 for details. Additionally, our Local Arrangements Committee and ENAR officers have recommended other fun activities for you to pursue while in Washington (see pages 6–8). We encourage you to enjoy several while you’re in town for the meeting. Finally, we are working on plans to continue our recent tradition of community outreach: Watch for details on our website and future communications. Thanks so much to our Local Arrangements Chair, Rochelle Tractenberg of Georgetown University, and the Local Arrangements Committee, for their help on all these fronts.

Finally, I wish to thank Kathy Hoskins, our ENAR Executive Director, Laura Yarborough Jennifer Weitz, and their other colleagues at Drohan Management for their amazing, year-round efforts to maintain ENAR as a professional organization of value to its members. If you have a chance, please stop by the registration desk to thank them for all they have done in making the ENAR 2012 Spring Meeting a success.

We hope to see you in Washington in April!

Karen Bandeen-RocheENAR 2012 President

Welcome and Overview 2 – 3

General Information 4 – 5

Washington, DC Highlights 6 – 8

Program Summary 10 – 15

Scientific Program 17 – 61

Special Thanks 63

Presidential Invited Speaker 64

IMS Tweedie Lecturer 65

Short Courses 67 – 70

Tutorials 71 – 72

Roundtables 73 – 75

Career Placement Services 78 – 79

Meeting Registration Form 80

Hotel Registration Form 81

Membership Form 82

Preliminary Program

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MEETING DATESSunday, April 1, 2012 through Wednesday, April 4, 2012 at 12:15 pm

LocationHyatt Regency Washington on Capitol Hill

400 New Jersey Avenue, NWWashington, D.C., USA 20001 Tel: 202-737-1234 Fax: 202-737-5773 washingtonregency.hyatt.com

RegistrationAdvance registration using either the Registration Form on page 80 or at www.enar.org is preferred and costs less

Registration Hours: Saturday, March 31 – 3:00 to 5:00 pm Sunday, April 1 – 7:30 am to 6:00 pm

The registration fee includes refreshment breaks and the opening mixer. The registration fee, less a $100 administrative fee, is refundable if written notice of cancellation is received by March 1, 2012.

New Member Reception, Opening Mixer, and Poster SessionA new member reception will be held from 7:30 to 8:00 pm on Sunday, April 1. All new ENAR members are cordially invited to attend. The Opening Mixer and Poster Session (included in the registration fee) will take place from 8:00 to 11:00 pm on Sunday, April 1.

Roundtable LuncheonsThis year, the roundtable luncheons will be held on Monday, April 2, from 12:15 to 1:30 pm. Space for each roundtable is lim-ited and pre-registration is advised. The fee is $35 per person and includes lunch. For topic information, please see pages 73-75.

Short Courses The 2012 ENAR meeting will begin with an exciting set of short courses on Sunday, April 1. See below for the registration fees for these Short Courses.

RECEIVED

BY March 1 AFTER March 1

Half Day Full Day Half Day Full Day

Member $ 160 $ 250 $ 185 $ 275

Nonmember $ 200 $ 300 $ 225 $ 320

Register for two half day courses and save!

See Pages 67-70 for Course Details

Savings Information Provided on Page 80

MEETING REGISTRATION FEES SHORT COURSE REGISTRATION FEES

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ENAR/WNAR/IBS Member $ 335 $ 375

ASA Member(Not a Member of ENAR/WNAR/IBS)

$ 355 $ 400

IMS Member(Not a Member of ENAR/WNAR/IBS)($355 – $20 IMS contribution = $335)

$ 335 $ 375

Student Member $ 150 $ 160

Guest Fee $ 40 $ 50

Nonmember(Of Any Participating Society)

$ 465 $ 510

Student Nonmember $ 185 $ 200

Be sure to register in advance, since courses close once they are full. Use either the registration form on page 80 or the electronic registration form on the ENAR website (www.ENAR.org/meetings.cfm).

TutorialsTutorials are offered on Monday and Tuesday, concurrent with the scientific program. These offerings provide a pre-sentation of a continuing education topic in a briefer time period (1 hour and 45 minutes). Fees for the tutorials are $75 for members ($85 after March 1) and $85 for non-members ($95 after March 1). Be sure to register in advance, since tutori-als close once they are full.

Student MixerAll students are invited to attend the student mixer on Monday, April 2, from 6:30 to 7:30 pm. Registration is not required.

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Hotel AccommodationsHyatt Regency Washington on Capitol Hill

400 New Jersey Avenue, NWWashington, DC, USA 20001 Tel: 202-737-1234 Fax: 202-737-5773 washingtonregency.hyatt.com

TransportationFrom Ronald Reagan National Airport Taxi: Taxis to the hotel are available outside the baggage claim area. The fare is approxi-mately $14 to $18 (10–20 minutes)

Metro Subway: Take the Yellow line from Ronald Reagan National Airport to the Gallery Place/Chinatown stop. Transfer to the Red line to Union Station (2nd stop). The Union Station Metro stop is located three blocks from the hotel. The fare is approximately $2.70 (20–25 min). Fares may vary based on time of day. To check fares visit www.wmata.com.

Super Shuttle: Available 7 days a week. Shuttle vans are located at Ronald Reagan National Airport, outside the baggage claim area at Ground Transportation. Look for the blue vans with yellow lettering. The shuttles make multiple stops and drop off directly at the hotel. Advance reservations may be made by calling 800-BlueVan (800-258-3826) or online at www.supershuttle.com. Approximate fare is $14 one way, timing is dependant upon number of stops required by passengers.

From Dulles International Airport Taxi: Taxis are available on the lower level outside baggage claim. The fare is approxi-mately $60 to $80 (50–60 minutes)

Super Shuttle: The approximate fare is $26 one way ($10 for additional passengers within same party).

From Baltimore/Washington AirportTaxi: Taxis are available on the lower level outside baggage claim. Fare is approximately $63 (1 hour)

MARC Train This is a commuter train from BWI to Union Station, which is three blocks from the hotel. The approximate cost is $7 one way. The MARC train runs weekdays only.

Super Shuttle: The approximate fare is $37 one way ($12 for additional passengers within same party).

From Amtrak/Union StationWalking: The hotel is located 3 blocks from Union Station. Follow exit signs to get to the front of Union Station. Take E Street (between the semi-circle of flags) to the intersection of E Street, NW and New Jersey Avenue, NW. The hotel will be directly in front of you.

Taxi: Taxis are available outside the main entrance of Union Station. Approximate fare is $5.50, with possible surcharges.

Getting Around TownMetro: For assistance in planning your travel, contact the hotel concierge, or visit: www.wmata.com for complete maps, schedules, fares and trip ideas.

ParkingHyatt Regency Washington on Capitol Hill is pleased to offer indoor valet parking for hotel guests at the rate of $41 per night (Including in/out privileges).

For conference attendees and visitors to the hotel, hourly valet parking is available:

0–1 hours = $201–2 hours = $252–10 hours = $2810–24 hours = $41

Abstract Book - Go Green & SaveAt this year’s spring meeting, you have the option of receiving the abstracts in hard copy, or Go Green and opt for online access only. Receive a $5 discount off the registration fee when you select the Green “online only” option on the registration form.

All attendees will receive a hard copy of the booklet containing all session and speaker names, times, and talk locations.

Placement ServiceThere will be a job placement service at the 2012 Spring Meeting. Additional infor-mation and registration forms are located on pages 78 & 79.

TUESDAY EVENING NETWORKING AND SOCIAL EVENT Dinner and Private Tour at the Mount Vernon EstateThis event will take us back in time to the 18th century and the life and times of George Washington. We will take motor coaches from the hotel along a 35–40 minute scenic route over the Potomac River to Mount Vernon, one of America’s most visited historic home sites. The evening will begin with a three-course, candle-lit dinner at the Mount Vernon Inn, which is located at the front of the estate’s prop-erty. After dinner, as our highlight, we will have hour-long private ac-cess to the Mount Vernon Museum and Education Center – a unique experience that includes a traditional museum as well as an interac-tive educational tour. Both the Museum and Education Center feature interactive displays, movies, and high-tech, and immersive experi-ences in addition to more than 700 artifacts. It is important to note that this evening event does not include a tour of the

Mount Vernon Mansion, which closes at 5:00 pm at this time of year. More information on this historic site can be found by visiting: www.mountvernon.org

This optional event includes a private tour of the Mount Vernon Museum and Education Center and dinner at the Mount Vernon Inn. (Please note that there will be a cash bar and that the registration fee does not include the cost of alcoholic beverages.)

We hope you will join us!

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DC Our nation's capital, Washington, DC, might be one of

the few places that the majority of US citizens “have”

visited if they've been outside their home state.

from the expanded Air and Space Museum, the Udvar-Hazy Center, where the Space Shuttle, among other astonishing aero-nautical exemplars, is now housed. Again, Udvar-Hazy is not on the National Mall but it is a site worth devoting the "extra" time to.

On or near the National Mall are several ex-ceptional museums, galleries, and exhibits that you might not yet have experienced, or that have been recently updated, reno-vated, or otherwise improved. For example, in 2008 the American History Museum opened its new gallery to showcase the actual "star-spangled banner", and the National Portrait Gallery has a new exhibit on the Civil War coinciding with the 150th anniversary of the start of the war, as well as artifacts and letters from both Generals Grant and Lee, and an exhibit on "Ameri-can Origins" (1600–1900). The Petersen House, where Lincoln died, and Ford's Theatre (across the street from it), have both been renovated and rehabilitated and will be reopened by the time of the ENAR meeting. The National Museum of Health and Medicine is in the process of moving to a new location (not on the National Mall) and has both Lincoln and Civil War exhibits.

Ongoing opportunities that you might not yet have experienced include the 70th season of concerts in the National Gal-lery of Art (beginning September 2011), bringing an additional dimension to the art showcased here (in both the East and West Buildings); a 5-month exhibition of Picasso drawings at the National Gallery of Art closes 6 May 2012. For outdoor exhibits, the Hirshhorn Museum and Sculpture Gar-den and National Arboretum, with its grove of state trees from nearly all 50 states, are excellent choices (the National Gallery of Art also has a sculpture garden). The National

Whether with your grade school class on a field trip or with your family, there are an incredible number and variety of events, exhibits, and experiences that, because they're often described as "can't miss", have not been missed! While you can arrange a tour of the White House through your member of Congress or Senator, through your congressperson's office up to six months in advance of any visit, there are many other attractions that you might not have had time for in earlier visits. The Local Arrangements Committee for ENAR 2012 wants to invite you to consider some of these "other" opportunities. For ex-ample, if you're flying into/out of BWI, you could visit the nearby National Cryptologic Museum which, because it is not in DC, might be one site you have not yet seen. If you're flying out of Dulles instead, there is an airport shuttle that will take you to and

Building Museum will open a new exhibi-tion about architectural and urban design proposals for DC (unbuilt) from the 1790s to today (starting November 2011) and the National Postal Museum (across from Union Station) has a unique collection of Amelia Earhart's personal artifacts, and will open a new exhibition about mail and US military troops in November 2011. One last Mall-based suggestion is the Smithsonian Castle itself, where you will find a display repre-senting *all* of the Smithsonian collections.

There are many other interesting museums and opportunities beyond the museums and monuments near or on the National Mall, including the Spy Museum, the New-seum, and the National Firearms Museum. Tours of DC that you might not yet have experienced include Monuments by Night - one of which departs from Union Station, and a TV and Movie Sites Tour of Washing-ton, DC. In between all of these museums and tours are innumerable options for eating and drinking (including the Capital City Brewing Company, "the first brewpub in Washington, DC since prohibition" across the street from Union Station).

Walking between sites (for touring or meals!) is a fantastic variety of architecture and design – including the Capitol Rotunda, located very nearby the conference hotel. The Local Arrangements Committee welcomes you to Washington, DC and hopes you enjoy every aspect of your visit, whether you try new museums or exhibits or re-visit your favorites!

Preliminary Program7

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Karen Bandeen-Roche 2012 ENAR President

The National Air and Space MuseumFeeling you could use an injection of awe in your workaday life? The thrill of imagination transformed into invention… the grandeur of our universe… the dizzying speed with which technology has advanced our power for discovery? The National Air and Space Museum never disappoints.

Take an easy 20 minute stroll from our hotel – brief jogs up New Jersey Avenue, Louisiana Avenue, and First Street to in front of the Capitol, and then an easy shot to Air and Space across the mall just past the National Museum of the American In-dian (NMAI). If you’re coming around noon, stop inside NMAI for the best lunch on the Mall: First Nations fare at the Mitsisam Café.

As you walk inside Air and Space, soak in the array of balloons, gliders, prop planes, jets, and rockets roundabout and above you. If you’re a history buff, be sure to seek out the Wright Flyer (and the very cool simulation of its Kitty Hawk flights), Lind-bergh’s Spirit of St. Louis, Sputnik 1, the Mercury 7, Gemini 4 and Apollo 11 cap-sules and more – all these the actual craft. For science lovers there are the Einstein Planetarium and galleries on our explora-tion of the solar system and cosmos. Tech types will marvel at the leaps by which the biplane evolved from the Wright flyer and the jet from the biplane; the ballistic missile from Robert Goddard’s model-rocket and the Saturn V from the ballistics. When a foot rest is needed, the museum’s IMAX features provide a great respite. Best of

all may be a personal connection – whether it be the sight of a fighter plane like your father or grandfather flew, reminiscence of grainy images coming in from Apollo 11, or recalling your first wonderment seeing nebulae and galaxies courtesy of the Hubble Telescope. In

my case it’s the “Looking at Earth” exhibit where I can see the TIROS, ITOS and GOES satellites my dad helped send up, savor the thrill of those years for him, and honor the reams of satellite analysis he brought home as the genesis of my interest in data.

If you can’t get enough, don’t forget the museum’s Udvar-Hazy Center out by Dulles Airport, where you can see a mind-boggling array of planes, capsules and the Enterprise space shuttle, or the Visitor Center at the Goddard Space Flight Center in Greenbelt, MD. If you share my experience, the time will have passed before you know it, and before getting nearly enough.

Amy Herring 2012 ENAR Past President

International Spy MuseumDo you want to “Get Smart” at ENAR? Would you like to see an iconic lipstick or umbrella pistol even though you lack a “License to Kill”? Then put on your shoe

phone and walk 0.8 mile to the International Spy Museum (www.spymuseum.org). The

vast array of gadgets on display makes this museum, which tells the story of an all-but-invisible profession, a treat not to be missed. Because “You Only Live Twice,” allow plenty of time for the exhibits, fill up your money belt before you go ($18 admission), and dress appropriately for crawling through the air conditioning ducts (optional but fun!). Note that all exhibits are “For Your Eyes Only” as photography is strictly NOT allowed!

Mike Daniels 2010-2011 ENAR Treasurer

Capitol Lounge231 Pennsylvania Ave, SE

Though only a select few seemed to take my recommendation in Miami at ENAR 2011 of putting back a few cold ones at The Democratic Republic of Beer (you missed out on a great place!), I will try again to identify a comfortable and well-stocked watering hole for ENAR 2012.Make your way over to the Capitol Lounge with a very nice selection of bottled beers including Bear Republic Racer 5 IPA (from the left coast and one of my personal favorites) and Duvel (from Belgium). Finish off the night with Young’s Double Chocolate Stout (from the UK) for dessert (yummy!). The Capitol Lounge is just a one mile walk from the hotel, a stone’s throw from the Library of Congress, behind the Capitol.

Jeffrey S. Morris 2011-2012 ENAR Secretary

Inexpensive Family Fun: The National ZooDC by Foot Walking TourBen’s Chili BowlIf you are bringing children with you or are just an animal lover yourself, you might enjoy the Smithsonian’s National Zoo that is right in the city. The zoo has many exotic animals, and is especially known for its giant pandas that are the Asia Trail. The park is open from 10am to 6pm daily, and admission is free!!! It is located at 3001 Connecticut Avenue, and is easily acces-sible by Metro (BTW, Metro is by far the easiest way to get around Washington, DC, and day passes allowing unlimited riding are only $8.30). The best Metro stop to take is the Cleveland Park stop from which you walk downhill to the zoo, which is better than the “Zoo” stop which requires you to walk uphill. If this is the first time in DC for either you or your children, you could see the major sites in the National Mall with DC by Foot, which gives free walking tours that are kid-friendly and includes games, trivia questions, and fun facts (gratuity is recom-mended). It is the highest rated walking tour


in DC. You can find details of the times and places of tours on the website (dcbyfoot.com) closer to the date. BTW, they also have other tours including a Lincoln Assassination tour, which currently takes place every Saturday evening at 7 pm and every Wednesday at 7 pm in the summer. For an inexpensive but incredible lunch or snack, I recommend getting the famous chili half-smoke at Ben’s Chili Bowl. This

includes ¼ lb. of pork and beef smoked sausage on a steamed bun with mustard, onions, and their famous homemade chili sauce. It only costs $5.45

and has been voted Washington’s signature dish. They also have chili, hot dogs, ham-burgers, etc., so if you have your kids with you they should find something they like. Ben’s is located on 1213 U Street, NW, across from the 13th street entrance of the U street Metrorail station on the Green Line.

Hormuzd Katki 2010–2011 Former RAB Chair

Theodore Roosevelt Island National MonumentTheodore Roosevelt Island is one of the natural treasures of the DC area. The island honors the president who founded the National Park System with a statue and monument with some of his best quotes. Situated on the Potomac River, it affords a scenic view of Georgetown and the Ken-nedy Center. A path and boardwalk rings the small island (1 mile in circumference), allowing one to see all kinds of wildlife unexpected for Washington DC, including migratory birds.

Glen Echo ParkGlen Echo Park is a magical place situated on the Potomac palisades near Bethesda, Maryland. Originally a Chautauqua retreat, then an amusement park, this National Park now presents vibrant arts and cultural programs. Take a class in pottery, painting, photography, art glass, music, silversmith-ing, or textiles. Enjoy a puppet show or theater performance with your kids and ride the historic Dentzel carousel. At night, the Spanish Ballroom opens up and features dancing: swing, contra, blues, waltz, Cajun,

Zydeco, salsa, tango, and more. Most of the dances feature a pre-dance introduc-tory lesson and dancing to live music from renowned local and national bands. Fall in love at Glen Echo Park (my wife and I did, New Year’s Eve 1995).

Debashis Ghosh 2012 ENAR Program Chair

Washington Restaurant SceneWashington D.C. has an absolutely first-rate restaurant scene with an incredibly diverse food culture. Just hop on the D.C. Metro at the Union Station stop (the nearest one to the Capitol City Regency Hyatt), and you will get to almost anywhere. Here are a few of my favorite places to eat.

(1) Bodega 3116 M Street NW, DC 202-333-4733 This is a Spanish restaurant that specializes in tapas (Wikipedia defines tapas as ``small savory Spanish dishes”; I would recommend the sangria and standard Spanish fare such as Bacalao a la Bilbaína con Lentejas de León (Sauteed cod fillet) and paella.

(2) Vidalia 1990 M Street NW, DC 202-659-1990 Vidalia features American cuisine with Southern stylings. It has standards such as New York Strip Steak and tuna steak, but with neat variations and sides. Plus, the desserts are really good, such as the apple tart! If you don’t want to trek on over there, its sister restaurant,

(3) Bistro Bis 15 E Street NW, DC 202-661-2700 just around the corner from the hotel.

(4) Zed’s 1201 28th Street NW, Georgetown 202-333-4710 If you are in the mood for Ethiopian food, then you can’t go wrong with Zed’s. It serves savory Ethiopian dishes (both vegetarian and non-vegetarian) on injera (traditional Ethopian bread with a spongy texture).

(5) Woodley Park-Zoo and Adams Morgan Metro Stop Areas (On the red line, as is the Union Station stop) boasts a variety of restaurants, ranging from Greek to Middle Eastern to Indian, that are quite tasty and affordable.

Kathy Hoskins ENAR Executive Director

Union Station – Not Just a Train Station!Within walking distance from the Hyatt Regency Washington on Capitol Hill, Union Station is one of the most visited destina-tions in the nation’s capital. Washington’s train station is also a premier shopping mall and serves as a venue for world-class exhibitions and international cultural events.

Union Station features more than 100 specialty shops selling a variety of items from jewelry and apparel to gifts and boutique items. There are more than 35 establishments offering international cuisine and six full service restaurants: America, B. Smith’s, Center Cafe, East Street Cafe, Pizzeria Uno, The Station Grill and Thunder Grill.

The Food Court at Union Station is a great place to enjoy a snack or take the family for a quick and inexpensive meal. Union Station also offers a multitude of services including shoe repair, a pharmacy, car rental services, florist, 24-hour automatic teller machines, photo processing, gourmet delicatessen, and foreign currency exchange.

Union Station also offers plenty of sightseeing tours options including the Gray Line, Old Town Trolley, DC Ducks, and Tourmobile.

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9:00 am – 9:00 pm Workshop for Junior Researchers

3:30 pm – 5:30 pm Conference Registration

Sunday, April 1

7:30 am – 6:30 pm Conference Registration

8:00 am – 12:00 pm Short Courses SC4: Statistical Methods for Next Generation Sequencing SC6: Current Methods for Evaluating Prediction Performance

of Biomarkers and Tests

8:00 am – 5:00 pm Short Courses SC1: Bayesian Adaptive Methods for Clinical Trials SC2: Regression Modeling Strategies SC3: Sensitivity Analysis with Missing Data: Statistical

Methods and Case Studies 12:30 am – 5:30 pm Diversity Workshop

1:00 pm – 5:00 pm Short Courses SC5: Latent Variable Models for Networks and Relational Data SC7: The Statistical Impact on Biopharmaceutical Drug

Development of the ICH Efficacy Guidelines

3:00 pm – 5:00 pm Exhibits Open

4:30 pm – 7:30 pm ENAR Executive Committee

4:00 pm – 7:30 pm Placement Service

8:00 pm – 11:00 pm Social Mixer and Poster Session 1. Posters: Bayesian Methods 2. Posters: Survival Analysis 3. Posters: Statistical Genetics / Genomics 4. Posters: Clinical Trials / Biopharmaceuticals /

Medical Devices 5. Posters: Computationally Intensive Methods /

High Dimensional Data 6. Posters: Environmental, Epidemiological, Health Services

and Observational Studies 7. Posters: Correlated and Longitudinal Data 8. Posters: Multivariate, Non-Parametric and

Semi-Parametric Models 9. Posters: Modeling, Prediction, Diagnostic Testing, Variable

Selection and Consulting


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7:30 am – 5:00 pm Speaker Ready Room

8:30 am – 5:30 pm Exhibits Open

8:30 am – 10:15 am Tutorial T1: Methods for Reproducible Research in R

8:30 am – 10:15 am Scientific Program 10. Statistical Genomics in Sequencing Era, from Data Analysis

to Personal Medicine 11. Variable Selection for Complex Models 12. Optimal and Personalized Treatment of HIV 13. Statistical Methods for Hospital Comparisons 14. Statistical Evaluation of Diagnostic Performance Using

ROC Analysis 15. Statistical Applications in Food Safety 16. Topic Contributed Papers: Synthetic Health Data for

Confidentiality Control 17. Topic Contributed Papers: Statistical Issues Arising

from Alternatives to Double-Masked Randomized Controlled Trials

18. Contributed Papers: Statistical Genetics 19. Contributed Papers: Spatial/Temporal Modeling 20. Contributed Papers: Non-Linear, PK-PD, and Dose-Response

Models 21. Contributed Papers: Longitudinal Data

9:30 am – 5:00 pm Placement Service

10:15 am – 10:30 am Refreshment Break and Visit Our Exhibitors

10:30 am – 12:15 am Tutorial T2: Object Oriented Data Analysis

10:30 am – 12:15 pm Scientific Program 22. Correlated High-Dimensional Data 23. Current Developments in Bayesian Clinical Trials 24. Causal Inference and Measurement Error 25. Two-Phase Estimation 26. Semi-Competing Risks 27. Graduate Student and Recent Graduate Council Invited

Session: Careers in Biostatistics 28. Topic Contributed Papers: Statistical Challenges of Spatial

Multi-Pollutant Data in Environmental Epidemiology 29. Topic Contributed Papers: Sample Size Adjustments for

Clinical Trials with Multiple Comparisons 30. Contributed Papers: Adaptive Design/Adaptive

Randomization 31. Contributed Papers: Biomarkers I 32. Contributed Papers: Causal Inference 33. Contributed Papers: Epidemiologic Methods

12:15 pm – 1:30 pm Roundtable Luncheons


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1:45 pm – 3:30 pm Tutorial T3: Comparative Effectiveness Research: Opportunities

and Challenges 1:45 pm – 3:30 pm Scientific Program 34. Recent Advances on High-Dimensional Medical Data

Analysis 35. Bayesian Approaches with Applications to Genomics 36. New Trends in Statistical Analysis of Biological Networks 37. Mathematical Modeling of Disease 38. High Dimensional Multi-Drug Combinations: From

Preclinical Models to Clinical Trials 39. Group Testing Methodology: Recent Developments

and Applications to Infectious Disease 40. Topic Contributed Papers: Novel Developments in

Statistical Blind Source Separation and Independent Components Analysis

41. Topic Contributed Papers: Causal Inference and Survival Analysis

42. Contributed Papers: Clinical Trials 43. Contributed Papers: Competing Risks 44. Contributed Papers: Functional Data Analysis 45. Contributed Papers: Genome Wide Association Studies

3:30 pm – 3:45 pm Refreshment Break and Visit Our Exhibitors

3:45 pm – 5:30 pm Tutorial T4: Towards High-Performance Computing with R

3:45 pm – 5:30 pm Scientific Program 46. Statistical Models for Omics Data 47. Tweedie Award 48. Recent Development in Optimal Treatment Strategies –

Estimation, Selection and Inference 49. Challenging Issues in Functional Connectivity Analysis 50. Recent Advances in Clinical Trial Design: Utilities and Pitfalls 51. Recent Advances in Methodology for the Analysis of Failure

Time Data 52. Topic Contributed Papers: New Methods and Theory in

Functional/Longitudinal Data Analysis 53. Topic Contributed Papers: Multivariate Methods in High

Dimensional Data 54. Contributed Papers: Bayes and other Approaches to Variable

and Model Selection 55. Contributed Papers: Clustered / Repeated Measures

Survival Analysis 56. Contributed Papers: Genomics 57. Contributed Papers: Health Services / Health Policy

6:00 pm – 7:30 pm President’s Reception


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7:30 am – 5:00 pm Speaker Ready Room

9:00 am – 3:30 pm Placement Service


8:30 am – 10:15 am Tutorial T5: Slippery Slopes: A Practical Introduction to Spatially Varying

Slopes in Regression Models 8:30 am – 10:15 am Scientific Program 58. Towards Omics-Based Predictors for Patient Management 59. Functional Data Analysis 60. The Analysis of Social Network Data in Public Health 61. Novel Methodological Issues in Analyzing and Designing

Longitudinal Biomarker Studies 62. Advances in Cancer Risk Prediction Models 63. Adaptive Design in Vaccine Trials 64. Topic Contributed Papers: Mixing: Inferences using

Frequentist and Bayesian Methods and for Mixed Discrete and Continuous Data

65. Contributed Papers: Bayesian Methods for Longitudinal and/or Survival Data

66. Contributed Papers: Complex Study Designs and Bias Corrections

67. Contributed Papers: High Dimensional Data 68. Contributed Papers: High Dimensional Data: Machine

Learning, Multivariate Methods and Computational Methods 69. Contributed Papers: Variable and Model Selection Methods

10:15 am – 10:30 am Refreshment Break and Visit Our Exhibitors

10:30 am – 12:15 pm 70. Presidential Invited Address and Student Paper Awards

12:30 pm – 4:30 pm Regional Committee Meeting

1:45 pm – 3:15 pm Tutorial T6: Introduction to MATLAB for Statisticians 1:45 pm – 3:30 pm Scientific Program 71. Recent Advances in Statistical Methods for Diagnostic

Medicine 72. JABES Special Session on Climate Change 73. Grant Funding Opportunities for Biostatisticians 74. Causal Mediation analysis: Definitions, Identification,

Inference and Controversies 75. Advances in Brain Imaging and Signal Biomarkers for

Behavior 76. Recent Development in Imputation Methods and Their

Applications 77. Topic Contributed Papers: Joint Modeling and Its Applications 78. Contributed Papers: Bayesian Methods I 79. Contributed Papers: Correlated / Longitudinal Data 80. Contributed Papers: Imaging

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Data Analysis 82. Contributed Papers: Survival Analysis and Risk Prediction

3:30 pm – 3:45 pm Refreshment Break and Visit Our Exhibitors

3:45 pm – 5:30 pm Scientific Program 83. Statistical Methods and Applications in Rare Variant

Sequencing Studies 84. Causal Inference Methods for HIV Research 85. Modern Statistical Machine Learning for Complex and

High Dimensional Data 86. Statistical Challenges in Reproductive and Environmental

Epidemiology 87. Combining Population Data from Multiple Sources 88. Spatial Uncertainty in Public Health Problems 89. Topic Contributed Papers: New Statistical Tools for High

Dimensional Problems 90. Contributed Papers: Bayesian Methods II 91. Contributed Papers: Diagnostic and Screening Tests 92. Contributed Papers: Meta-Analysis 93. Contributed Papers: Missing Data I 94. Contributed Papers: Semiparametric and Nonparametric

Methods for Survival Analysis

5:30 pm – 6:00 pm ENAR Business Meeting

6:30 pm – 10:30 pm Tuesday Night Event



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7:30 am – 12:00 noon Speaker Ready Room

7:30 am – 9:00 am Planning Committee Meeting



8:30 am – 10:15 am Scientific Program 95. New Statistical Challenges in Functional Data Analysis 96. Estimation of Covariance Matrices with Applications to

Longitudinal Data and Graphical Models 97. Analyses of Incomplete Longitudinal Data: How Robust are

the Results? 98. Statistics in Mental Health Research: A Prelude to a

Proposed New ASA Section 99. High-Impact Statistical Methods and the Fight Against HIV

in the Developing World 100. Memorial Session for Tom Ten Have 101. Topic Contributed Papers: Advanced Statistical Modeling

for Complex Omics Data 102. Contributed Papers: Biomarkers II 103. Contributed Papers: Dynamic Treatment Regimens 104. Contributed Papers: Missing Data II 105. Contributed Papers: Multiple Testing 106. Contributed Papers: Power / Sample Size Calculations

10:15 am – 10:30 am Refreshment Break and Visit Our Exhibits

10:30 am – 12:15 pm Scientific Program 107. Imaging, Omics and High-Dimensionality 108. Statistical Methods for Modeling SEER Population-based

Cancer Data 109. Powerful Statistical Models and Methods in Next

Generation Sequencing 110. Recent Developments in Subgroup Analysis in Randomized

Clinical Trials 111. Individualized Risk Prediction using Joint Models of

Longitudinal and Survival Data 112. Recent Advances in Dynamic Treatment Regimes Research 113. Topic Contributed Papers: A Review of Established and

New Methods of Multiple Imputation of Missing Data with the Emphasis on Available Software Packages

114. Contributed Papers: Accelerated Failure Time Models 115. Contributed Papers: Environmental and Ecological

Applications 116. Contributed Papers: Next Generation Sequencing 117. Contributed Papers: Nonparametric Methods 118. Contributed Papers: Semi-Parametric and Non-

Parametric Models



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AM Sunday, April 1

8:00 pm – 11:00 pm | Poster Presentations

1. POSTERS: Bayesian Methods Sponsor: ENAR

1a. Bayesian Modeling of ChIP-Seq Data for Detecting Chromatin Regions Attached to the Nuclear Envelope Based on Lamin B1 Sabrina Herrmann and Holger Schwender*, TU Dortmund University Dortmund, Germany; Shoudan Liang, Yue Lu and Marcos Estecio, University of Texas MD Anderson Cancer Center; Katja Ickstadt, TU Dortmund University, Dortmund, Germany and Peter Mueller, University of Texas at Austin

1b. Bayesian Learning in Joint Models for Longitudinal and Survival Data Laura A. Hatfield*, Harvard Medical School; James S. Hodges and Bradley P. Carlin, University of Minnesota

1c. Bayesian Semiparametric Regression Analysis of Bivariate Current Status Data Naichen Wang* and Lianming Wang, University of South Carolina

1d. A Phase I Trial Design for Incorporating Efficacy Outcomes that are Conditional Upon Absence of Dose-Limiting Toxicities Thomas M. Braun, Shan Kang* and Jeremy M G Taylor, University of Michigan

1e. An Empirical Bayes Hierarchical Model for Inference in Time-course RNA-seq Experiments Ning Leng*, University of Wisconsin-Madison; Victor Ruotti, Ron M. Stewart and James A. Thomson, Morgridge Institute for Research and Christina Kendziorski, University of Wisconsin-Madison

1f. Bayesian Indirect and Mixed Treatment Comparisons across Longitudinal Time Points Ying Ding* and Haoda Fu, Eli Lilly and Company

1g. Sample Size Estimation for Joint Modeling of Efficacy and Safety Brandi Falley* and James Stamey, Baylor University

1h. Implementation of Continuous Bayesian Interim Monitoring for Single Arm Phase II Trials with the Oncore System Stacey Slone*, Emily Van Meter and Dennie Jones, Markey Cancer Center, University of Kentucky

1i. Joint Modeling of Time-to-event and Tumor Size Weichao Bao* and Bo Cai, University of South Carolina

1j. Bayesian Order Restricted Inference of Measurement Agreement with an Application to the Physician Reliability Study Zhen Chen*, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

1k. Quantal Responses of the Weibull Risk Function Douglas Moore*, University of North Carolina at Wilmington

1l. Bayesian Effect Estimation Accounting for Adjustment Uncertainty Chi Wang*, University of Kentucky; Giovanni Parmigiani, Dana-Farber Cancer Institute and Harvard School of Public Health and Francesca Dominici, Harvard School of Public Health

1m. Bayesian Semiparametric Regression Models for Semicompeting Risks Data Kyu Ha Lee*, Sebastien Haneuse and Francesca Dominici, Harvard School of Public Health

1n. Bayesian Restricted Contour Estimation Method for X-inactivation Ratio from Pyro-Sequencing Data Alan B. Lenarcic*, John Calaway, Fernando de Pardo and William Valdar, University of North Carolina at Chapel Hill

1o. Multiple Imputation of Latent Counts from Heaped Self-Reported Measurements of Daily Cigarette Consumption Sandra D. Griffith*, University of Pennsylvania; Saul Shiffman, University of Pittsburgh and Daniel F. Heitjan, University of Pennsylvania

1p. Bayesian Graphical Models in Epigenetic Applications Riten Mitra*, University of Texas, MD Anderson Cancer Center; Peter Mueller, University of Texas at Austin and Yuan Ji, University of Texas, MD Anderson Cancer Center

1q. Bayesian Nonparametric Estimation of Finite Population Quantities in Absence of Design Information on Nonsampled Units Sahar Zangeneh*, Robert W. Keener and Roderick J.A. Little, University of Michigan

n = Student Award Winner | * = Presenter


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AM 2. POSTERS:

Survival Analysis Sponsor: ENAR

2a. Commonality Analysis for Survival Data, with an Application to Data from Breast Cancer Patients with Newly Diagnosed Brain Metastases Binglin Yue*, Moffitt Cancer Center; Xianghua Luo, Haitao Chu and Paul Sperduto, University of Minnesota

2b. An AIPCW Estimator of the Cumulative Incidence Function Under Multiple Competing Censoring Mechanisms Brian Sharkey*, Michael Hughes and Judith Lok, Harvard University

2c. Incorporating Sampling Plan and Competing Risks in Analysis of Prospective Pregnancy Studies Kirsten J. Lum*, Johns Hopkins Bloomberg School of Public Health; Rajeshwari Sundaram, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health and Thomas A. Louis, Johns Hopkins Bloomberg School of Public Health

2d. Estimation of Cox Proportional Hazards Models for Two Negatively Correlated Processes Wenjing Xu*, Qing Pan and Joseph L. Gastwirth, George Washington University

2e. Recursive Partitioning Based Weights for Censored Quantile Regression Andrew Wey*, Lan Wang and Kyle D. Rudser, University of Minnesota

2f. Development and Evaluation of Multimarker Panels for Clinical Prognosis Benjamin French*, University of Pennsylvania; Paramita Saha Chaudhuri, Duke University; Bonnie Ky and Thomas P. Cappola, University of Pennsylvania and Patrick J. Heagerty, University of Washington

2g. Generalized Odds-Rate Hazard Models for Interval-Censored Failure Time Data Bin Zhang*, University of Alabama-Birmingham and Lianming Wang, University of South Carolina

2h. A Semi-Parametric Joint Model for Semi-competing Risk Data Renke Zhou* and Jing Ning, University of Texas, MD Anderson Cancer Center and Melissa Bondy, Baylor College of Medicine

2i. Informative Age Reduction Model for Recurrent Event Li Li* and Timothy Hanson, University of South Carolina

2j. Parameter Estimation in Cox Proportional Hazard Models with Missing Censoring Indicators Naomi C. Brownstein*, Eric Bair, Jianwen Cai and Gary Slade, University of North Carolina at Chapel Hill

2k. Challenges from Competing Risks and Recurrent Events in Cardiovascular Device Trials: A Regulatory Reviewer’s Perspective Yu Zhao*, Center for Devices and Radiological Health, U.S. Food and Drug Administration

2l. Bayesian Semiparametric Model for Spatial Interval-Censored Failure Time Data Chun Pan*, Bo Cai, Lianming Wang and Xiaoyan Lin, University of South Carolina

2m. Analysis of Variance for Right Censored Survival Data Chetachi A. Emeremni*, University of Pittsburgh

2n. Sample Size and Power Calculation for Proportional Hazards Model with Time-dependent Variables Songfeng Wang* and Jiajia Zhang, University of South Carolina and Wenbin Lu, North Carolina State University

3. POSTERS: Statistical Genetics/Genomics Sponsor: ENAR

3a. Simultaneous Functional Category Analysis Qiuling He* and Michael A. Newton, University of Wisconsin-Madison

3b. Combining Linkage Analysis and Next Generation Sequencing to Identify Rare Causal Variants in Complex Diseases Silke Szymczak*, Qing Li and Claire L. Simpson, National Human Genome Research Institute, National Institutes of Health; Robert Wojciechowski, Johns Hopkins Bloomberg School of Public Health; Xilin Zhao, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health; Mary Pat S. Jones, National Human Genome Research Institute, National Institutes of Health; Richa Agarwala and Alejandro A. Schaeffer, National Center for Biotechnology Information, National Institutes of Health; Stephen A. Wank, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health and Joan E. Bailey-Wilson, National Human Genome Research Institute, National Institutes of Health


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AM 3c. Using Growth Mixture Modeling to Identify Loci Associated

with the Progression of Disease Tong Shen*, Duke University

3d. Data Preprocessing: Quantification and Normalization of the Luminex Assay System Eileen Liao* and David Elashoff, University of California at Los Angeles

3e. Borrowing Information across Genes and Experiments for Improved Residual Variance Estimation in Microarray Data Analysis Tieming Ji*, Peng Liu and Dan Nettleton, Iowa State University

3f. Joint Modeling of Disease and Endophenotype to Characterize the Effect of Genes and their Interactions Alexandre Bureau*, Jordie Croteau and Molière Nguilé Makao, Université Laval - Robert-Giffard, Université Laval, Québec, Canada

3g. Epistasis Enriched Network and Risk Score Modeling of Continuous Multifactor Dimensionality Reduction Hongying Dai*, Children’s Mercy Hospital; Richard Charnigo, Mara Becker and Steve Leeder, University of Kentucky

3h. Joint Analysis of SNP and Gene Expression Data in Genome-Wide Association Studies Yen-Tsung Huang*, Xihong Lin and Tyler VanderWeele, Harvard University

3i. A Robust Test for Detecting Differentially Methylated Regions Hongyan Xu* and Varghese George, Georgia Health Sciences University

3j. Testing for Gene-Environment and Gene-Gene Interactions Under Monotonicity Constraints Summer S. Han*, Philip S. Rosenberg and Nilanjan Chatterjee, National Cancer Institute, National Institutes of Health

3k. Bayesian Gene Set Test, the Proportion of Significant Genes in the Set as the Summary Statistic Di Wu*, Ke Deng, Ming Hu and Jun Liu, Harvard University

3l. Adjustment for Population Stratification via Principal Components in Association Analysis of Rare Variants Yiwei Zhang*, Weihua Guan and Wei Pan, University of Minnesota

3m. Reprioritizing Genetic Associations in Hit Regions using LASSO-based Resample Model Averaging William Valdar, Jeremy Sabourin*, Andrew Nobel, University of North Carolina at Chapel Hill and Chris Holmes, University of Oxford, United Kingdom

3n. Multilayer Correlation Structure of Microarray Gene Expression Data Linlin Chen*, Rochester Institute of Technology; Lev Klebnov, Charles University and Anthony Almudevar, University of Rochester

3o. Statistical Methods for Identifying Batch Effects in Copy Number Data Sarah E. Reese*, Virginia Commonwealth University; Zerry M. Therneau and Ellizabeth J. Atkinson, Mayo Clinic; Kellie J. Archer, Virginia Commonwealth University and Jeanette E. Eckel-Passow, Mayo Clinic

3p. Distribution of Allele Frequencies and Effect Sizes and Their Interrelationships for Common Genetic Susceptibility Variants Ju-Hyun Park* and Mitchell H. Gail, National Cancer Institute, National Institutes of Health; Clarice R. Weinberg, National Institute of Environmental Health Sciences, National Institutes of Health; Raymond J. Carroll, Texas A&M University; Charles C. Chung, Zhaoming Wang, Stephen J. Chanock, Joseph F. Fraumeni and Nilanjan Chatterjee, National Cancer Institute, National Institutes of Health

3q. Selecting a Statistical Test to Detect Associations with Groups of Genetic Variants: A User’s Guide John Ferguson and Hongyu Zhao, Yale University; William Wheeler, IMS; Yi-Ping Fu, Ludmila Prokunina-Olsson and Joshua N. Sampson*, National Cancer Institute, National Institutes of Health

3r. A New Penalized Regression Approach to Testing Quantitative Trait-Rare Variant Association Sunkyung Kim*, Wei Pan and Xiaotong Shen, University of Minnesota

3s. Incorporating Heterogeneity into Meta-Analysis of Genomic Data: A Weighted Hypothesis Testing Approach Yihan Li* and Debashis Ghosh, Pennsylvania State University

3t. Modeling Haplotype Effects in a Genetic Reference Population: A Bayesian Collaborative Cross Toolkit Zhaojun Zhang*, Wei Wang and William Valdar, University of North Carolina at Chapel Hill

3u. Integrated Analysis of miRNA-mRNA Expression Profiles using Canonical Correlation Analysis Guy Brock*, Partha Mukhopadhyay, Robert Greene and Michele Pisano, University of Louisville

3v. Multi-Marker Association Analysis with Multiple Phenotypes in Families Yiwei Zhang* and Saonli Basu, University of Minnesota



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AM 3w. Multi-Stage Sequence/Imputation Design

Thomas J. Hoffmann* and John S. Witte, University of California San Francisco

3x. An Application of the Proportional Odds Model to Genetic Association Studies Kai Wang*, University of Iowa

3y. An Empirical Evaluation of Array Normalization for Agilent microRNA Expression Arrays Li-Xuan Qin*, Qin Zhou, Jaya Satagopan and Samuel Singer, Memorial Sloan-Kettering Cancer Center

3z. Association Analysis of Rare Variants with Incomplete Genetics Data Yijuan Hu*, Emory University and Danyu Lin, University of North Carolina at Chapel Hill

3aa. A Weighted Average Likelihood Ratio Test with Application to RNA-seq Data Yaqing Si* and Peng Liu, Iowa State University

3ab. Order Statistic for Robust Genomic Meta-analysis Chi Song* and George C. Tseng, University of Pittsburgh

3ac. Asymptotic Properties and Convergence Rate in Solving Models of Linkage Disequilibrium Mapping Jiangtao Luo*, University of Nebraska Medical Center

4. POSTERS: Clinical Trials/Biopharmaceuticals/ Medical Devices Sponsor: ENAR

4a. A Phase II Factorial Design for Combination Codevelopment in Oncology based on Probability of Correct Selection Xinyu Tang*, University of Arkansas for Medical Sciences and William Mietlowski, Novartis Oncology

4b. Bayesian Application for a Clinical Trial with Correlated Continuous and Binary Outcomes Ross Bray*, John W Seaman Jr. and James Stamey, Baylor University

4c. Scaled Biosimilarity Margins for Higher Variable Biologic Products Nan Zhang and Jun Yang*, Amgen, Inc.; Shein-Chung Chow, Duke University; Eric Chi, Amgen, Inc. and Laszlo Endrenyi, University of Toronto

4d. Dose Finding Designs for Modeling Immunotherapy Outcomes: A Practical Approach in a Metastatic Melanoma Phase I Trial Cody C. Chiuzan* and Elizabeth Garrett-Mayer, Medical University of South Carolina

4e. Elliptical Likelihood Ratio Test for Homogeneity of Ordered Means Xiao Zhang* and Michael P. McDermott, University of Rochester

4f. Analysis of Multiple Non-Commensurate Outcomes in Psychiatry Frank B. Yoon*, Mathematica Policy Research, Inc.; Garrett M. Fitzmaurice, Harvard School of Public Health; Stuart R. Lipsitz, Harvard Medical School; Nicholas J. Horton, Smith College and Sharon-Lise T. Normand, Harvard Medical School

4g. Evaluation for Time to Onset of Drug Action Ziwen Wei*, University of Connecticut, Luyan Dai and Naitee Ting, Boehringer Ingelheim

4h. Meta-Analysis of One Outcome from Group Sequential Trials with Composite Outcomes: Are Standard Methods Appropriate? Abigail B. Shoben*, The Ohio State University

4i. Statistical Analysis of Evaluating the Clinical Utility of Quantitative Real-Time Loop-Mediated Isothermal Amplification for Diagnosis of Lower Respiratory Tract Infections Peng Zhang*, Peichao Peng, Yu Kang and Minping Qian, Peking University

4j. Monotonicity Assumptions for Exact Unconditional Tests in Binary Matched-Pairs Designs Xiaochun Li*, Mengling Liu and Judith D. Goldberg, New York University

4k. A Phase I/II Clinical Trial for Drug Combinations Beibei Guo* and Yisheng Li, University of Texas MD Anderson Cancer Center

4l. Overview of Statistical Issues in the Analysis of Continuous Glucose Monitoring Chava Zibman*, U.S. Food and Drug Administration

4m. Biological Optimum Dose Finding for Novel Targeted Agents Hao Liu*, Baylor College of Medicine

4n. Hierarchical Bayesian Methods for Combining Efficacy and Safety in Multiple Treatment Comparisons Hwanhee Hong* and Bradley P. Carlin, University of Minnesota


5. POSTERS: Computationally Intensive Methods / High Dimensional Data Sponsor: ENAR

5a. Global Hypothesis Testing for High Dimensional Repeated Measures Outcomes Yueh-Yun Chi*, University of Florida; Matthew Gribbin, Human Genome Sciences; Lamers Yvonne, University of British Columbia; Jesse F. Gregory and Keith E. Muller, University of Florida

5b. An Example of using Sweave to Create and Maintain a Large, Dynamic Statistical Report: Prevalence and Effects of Potentially Distracting Non-care Activities during Anesthesia Care David Afshartous, Steve Ampah*, Samuel K. Nwosu, Jason Slage and Eric Porterfield, Vanderbilt University

5c. Iteratively Reweighted Poisson Regression for Fitting Generalized Linear Model with Multiple Responses Yiwen Zhang* and Hua Zhou, North Carolina State University

5d. Joint Estimation of Multiple Precision Matrices T. Tony Cai and Hongzhe Li, University of Pennsylvania; Weidong Liu, Shanghai Jiao Tong University and Jichun Xie*, Temple University

5e. How to Bootstrap fMRI Data? Sanne Roels*, Tom Loeys and Beatrijs Moerkerke, Ghent University, Belgium

5f. The Hosmer-Lemeshow Goodness of Fit Test: Does the Grouping Really Matter? Hillary M. Rivera*, Zoran Bursac and D. Keith Williams, University of Arkansas for Medical Sciences

5g. A Bayesian Non-Parametric Potts Model with fMRI Application Timothy D. Johnson and Zhuqing Liu*, University of Michigan and Thomas E. Nichols, University of Warwick

5h. Oracle Inequalities for the High-Dimensional Cox Regression Model via Lasso Shengchun Kong* and Bin Nan, University of Michigan

5i. Integrated Machine Learning Approach as a Tool for Testing SNP-SNP Interactions Hui-Yi Lin*, H. Lee Moffitt Cancer Center & Research Institute

5j. A General Theory of Sufficient Dimension Reduction: Formulation and Estimation Kuang-Yao Lee*, Bing Li and Francesca Chiaromonte, Pennsylvania State University

5k. Optimal Multi-Stage Single-arm Phase II Design Based on Simulated Annealing Nan Chen* and J. Jack Lee, University of Texas MD Anderson Cancer Center

5l. SubLIME: Subtraction-based Logistic Inference for Modeling and Estimation Elizabeth M. Sweeney* and Russell T. Shinohara, Johns Hopkins University and National Institute of Neurological Disorders and Stroke, National Institutes of Health; Colin D. Shea, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Daniel S. Reich, Johns Hopkins University and National Institute of Neurological Disorders and Stroke, National Institutes of Health and Ciprian M. Crainiceanu, Johns Hopkins University

5m. Comparing Independent Component Analysis Estimation Methods with an Application to Neuroimaging of Resting State Functional Connectivity in Attention Deficit and Hyperactivity Disorder Benjamin B. Risk*, David S. Matteson and David Ruppert, Cornell University

5n. Variable Section Methods in Linear Models with Growing Dimension June Luo*, Clemson University

5o. Family-based Association Studies for Next-generation Sequencing Yun Zhu* and Momiao Xiong, University of Texas, Health Science Center at Houston

5p. Case-based Reasoning in Comparative Effectiveness Research Marianthi Markatou* and T. J. Watson Research Center, IBM and Prabhani Kuruppumullage Don, The Pennsylvania State University

5q. Regularization with Latent Factors for Model Selection in Multivariate Multiple Regression with Application to eQTL Analysis Yan Zhou* and Peter X. K. Song, University of Michigan; Sijian Wang, University of Wisconsin and Ji Zhu, University of Michigan

5r. Measurement Error Model in Shape Analysis Jiejun Du*, Ian Dryden and Xianzheng Huang, University of South Carolina

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AM 6. POSTERS:

Environmental, Epidemiological, Health Services, And Observational Studies Sponsor: ENAR

6a. Publication Bias in Meta-Analysis Min Chen*, ExxonMobil Biomedical Sciences, Inc.

6b. Regression Models for Group Testing Data with Pool Dilution Effects Christopher S. McMahan* and Joshua M. Tebbs, University of South Carolina and Christopher R. Bilder, University of Nebraska

6c. Principal Stratification Based on Latent Survival Classes to Predict Treatment Outcomes for Localized Kidney Cancer Brian L. Egleston*, Yu-Ning Wong and Robert G. Uzzo, Fox Chase Cancer Center

6d. Loss Functions for Identifying Regions with Minimum or Maximum Rates Ronald E. Gangnon*, University of Wisconsin-Madison

6e. Time-to-event Analysis of Ambient Air Pollution and Preterm Birth Howard H. Chang*, Emory University; Brian J. Reich, North Carolina State University and Marie Lynn Miranda, University of Michigan

6f. Dorfman Group Screening with Multiple Infections Yanlei Peng*, Joshua M. Tebbs, University of South Carolina and Christopher R. Bilder, University of Nebraska-Lincoln

6g. Applying General Risk Scores in Special Populations Cynthia S. Crowson*, Elizabeth J. Atkinson and Terry M. Therneau, Mayo Clinic

6h. Using Predictive Surfaces to Understand Disparities in Exposure to PM2.5 and Ozone in North Carolina Simone Gray*, U.S. Environmental Protection Agency; Sharon Edwards and Marie Lynn Miranda, University of Michigan

6i. Probabilistic Risk Assessment of Air Quality Management Strategies for Ozone Kristen M. Foley*, U.S. Environmental Protection Agency; Brian J. Reich, North Carolina State University and Sergey L. Napelenok, U.S. Environmental Protection Agency

6j. A Simulation Study of Estimators of Time-Varying Treatment Effects on Cancer Recurrence with Time Dependent Confounding Jincheng Shen*, University of Michigan; Edward H. Kennedy, VA Center for Clinical Management Research; Douglas E. Schaubel, Lu Wang and Jeremy M.G. Taylor, University of Michigan

6k. Propensity Score Using Machine Learning Yi-Fan Chen* and Lisa Weissfeld, University of Pittsburgh

6l. Assessing the Effect of Organ Transplant on the Distribution of Residual Lifetime David M. Vock*, Anastasios A. Tsiatis and Marie Davidian, North Carolina State University

6m. Methods for Classifying Changes in Bacterial Prevalence over Time Raymond G. Hoffmann*, Ke Yan and Pippa Simpson, Medical College of Wisconsin; Jessica Vandevalle and Sandra McLellan, University of Wisconsin – Milwaukee

6n. Salivary Cortisol as a Predictor of Health Outcomes Brisa N. Sanchez*, Ana V. Diez-Roux and TE Raghunathan, University of Michigan

6o. Retracing Micro-Epidemics of Chagas Disease Using Epicenter Regression Michael Levy, Dylan Small* and Joshua Plotkin, University of Pennsylvania

6p. Comparing Cancer Rates by Age-stratified Zero-inflated Poisson Model Xiaoqin Xiong*, Information Management Services, Inc. and Binbing Yu, National Institute on Aging, National Institutes of Health

6q. Use of the Continuous-time Markov Chain to Examine the Natural History of Alzheimer’s Disease Wenyaw Chan* and Julia Benoit, University of Texas, Health Science Center at Houston and Rachelle S. Doody, Baylor College of Medicine

6r. Process-based Bayesian Melding of Two-Zone Models and Industrial Workplace Data Joao V.D. Monteiro*, Sudipto Banerjee and Gurumurthy Ramachandran, University of Minnesota


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AM 7. POSTERS:

Correlated and Longitudinal Data Sponsor: ENAR

7a. Multilevel Joint Analysis of Longitudinal and Binary Outcome Seo Yeon Hong* and Lisa A. Weissfeld, University of Pittsburgh

7b. Space-time Heterogeneities in One-dimensional Point Process Data: Modeling Sea Turtle Nesting Patterns via Log-Gaussian Cox Processes Ming Wang*, Jian Kang and Lance A. Waller, Emory University

7c. Joint Modeling of Longitudinal Multivariate Measurements and Survival data with Applications to Parkinson’s Disease Bo He* and Sheng Luo, University of Texas at Houston

7d. Identification of Clinically Relevant Disease Subtypes using Supervised Sparse Clustering Sheila Gaynor* and Eric Bair, University of North Carolina-Chapel Hill

7e. Multistate Markov Chain Transition Model for Clustered Longitudinal Data: Application to an Osteoarthritis Study Ke Wang*, Bin Zhang and Yuqing Zhang, Boston University; Haiqun Lin, Yale University and Howard Cabral, Boston University

7f. A Bivariate Location-Scale Mixed-Effects Model with Application to Ecological Momentary Assessment (EMA) Data Oksana Pugach* and Donald Hedeker, University of Illinois at Chicago

7g. The Influences of Utilized and Theoretical Covariance Weighting Matrices on the Estimation Performance of QIF Philip M. Westgate*, University of Kentucky

7h. Group-based Trajectory Modeling of Cardiac Autonomic Modulation Michele Shaffer*, Fan He and Duanping Liao, Penn State College of Medicine

7i. Statistical Inference on Temporal Gradients in Regionally Aggregated Data Harrison S. Quick*, Sudipto Banerjee and Bradley P. Carlin, University of Minnesota

7j. Fitting Parametric Random Effects Models in very Large Data Sets with Application to VHA Data Mulugeta Gebregziabher, Leonard E. Egede, Gregory E. Gilbert* and Kelly Hunt, Center for Disease Prevention and Health Interventions in Diverse Population; Paul Nietert, Medical University of South Carolina and Patrick Mauldin, Center for Disease Prevention and Health Interventions in Diverse Population

7k. Modeling and Estimation of Repeated Ordinal Data Using Gaussian Copula Raghavendra R. Kurada, Old Dominion University; Roy T. Sabo, Virginia Commonwealth University and N. Rao Chaganty*, Old Dominion University

7l. Simulation Study of the Convergence Properties of Log Gaussian Cox Process Posteriors Timothy D. Johnson and Ming Teng*, University of Michigan and Jian Kang, Emory University

7m. Sensitivity of a Longitudinal Analysis to Missing Data Hypotheses: A Study of the Mechanisms by which Weight Loss Reduces Arterial Stiffness Jennifer N. Cooper*, Jeanine M. Buchanich, Ada Youk, Maria M. Brooks and Kim Sutton-Tyrrell, University of Pittsburgh

7n. Multivariate Spatial Analysis via Mixtures Brian Neelon* and Rebecca Anthopolos, Duke University

7o. Elliptic Spatial Scan Statistic on Trends Jun Luo*, Information Management Services, Inc.

7p. Joint Modeling of Longitudinal Health Predictors and Cross-sectional Health Outcomes via Mean and Variance Trajectories Bei Jiang* and Mike Elliot, University of Michigan; Mary Sammel, University of Pennsylvania and Naisyin Wang, University of Michigan

7q. Conditional Maximum Likelihood Estimation in Tumor Growth Models under Volume Endpoint Censoring Kingshuk Roy Choudhury*, Duke University and Finbarr O’Sullivan, University College Cork, Ireland

7r. An Analytical Framework for HPV Transmission using Longitudinal Data on Couples Xiangrong Kong*, Johns Hopkins Bloomberg School of Public Health

7s. Dimension Reduction Techniques in Application to Longitudinal Data Analysis Tamika Royal-Thomas*, Winston-Salem State University; Daniel McGee, Debajyoti Sinha, Florida State University; Clive Osmond, University of Southampton and Terrence Forrester, University of the West Indies

7t. A Bayesian Semi-Parametric Joint Modeling for Longitudinal and Survival Data Julius S. Ngwa* and L. Adrienne Cupples, Boston University



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Multivariate, Non-Parametric, and Semi-Parametric Models Sponsor: ENAR

8a. Estimation of Kendall’s Tau For Bivariate Survival Data with Truncation Hong Zhu*, The Ohio State University

8b. Probabilistic Index Mixed Models for Clustered Data Fanghong Zhang*, Ghent University, Belgium; Stijn Vansteelandt, Ghent University, Belgium and London School of Hygiene and Tropical Medicine, U.K.; Jan De Neve and Olivier Thas, Ghent University, Belgium

8c. A Multi-dimensional Approach to Large-scale Simultaneous Hypothesis Testing using Voronoi Tessellations Daisy L. Phillips* and Debashis Ghosh, The Pennsylvania State University

8d. Model Selection and Estimation in Generalized Additive Mixed Models Dong Wang* and Daowen Zhang, North Carolina State University

8e. Clinical Variables Associated with Melanoma Brain Metastasis: A Meta Analysis Meng Qian*, Michelle Ma, Ronald O. Perelman, Iman Osman and Yongzhao Shao, New York University School of Medicine

8f. Rank Based Estimation for Generalized Linear Models Guy-vanie M. Miakonkana* and Asheber Abebe, Auburn University

8g. Exploring Multivariate Associations: A Graph Theoretic Approach Revisited Srikesh G. Arunajadai*, Columbia University

8h. Comparison of Rank Based Tests in Combined Designs Yvonne M. Zubovic*, Indiana University Purdue University Fort Wayne

8i. Factor Analysis for Binary Data used to Measure Patient´s Expectations and Experiences with Health Services| Rebeca Aguirre-Hernandez*, Alicia Hamui-Sutton, Ruth García-Fuentes and Anselmo Calderon-Estrada, Ciudad Universitaria, Mexico

8j. Autoassociative Neural Network Approach for Nonlinear Principal Component Analysis Siddik Keskin*, Yuzuncu Yil University and University of Toronto and W.Y. Wendy Lou, University of Toronto

9. POSTERS: Modeling, Prediction, Diagnostic Testing, Variable Selection, And Consulting Sponsor: ENAR

9a. Joint Modeling of Censored Multivariate Longitudinal and Event Time Data Francis Pike* and Lisa Weissfeld, University of Pittsburgh

9b. Cross-sectional HIV-1 Incidence Estimation Utilizing Viral Genetic Diversity Natalie M. Exner*, Vladimir A. Novitsky and Marcello Pagano, Harvard School of Public Health

9c. Jackknife Empirical Likelihood for ROC Curves with Missing Data Hanfang Yang*, Georgia State University

9d. Profile Likelihood Based Confidence Interval of the Intraclass Correlation for Binary Outcomes, with Applications to Toxicological Data Krishna K. Saha*, Central Connecticut State University

9e. Introductory Statistics for Medical Students—in 6 Lectures Jacob A. Wegelin*, Virginia Commonwealth University

9f. Comparison of Tests in a Region around the Optimal Threshold Donna K. McClish*, Virginia Commonwealth University

9g. Interquantile Shrinkage in Regression Models Liewen Jiang*, Howard Bondell and Judy Wang, North Carolina State University

9h. A Joint Model for Quality of Life and Survival in Palliative Care Studies Zhigang Li*, Tor Tosteson and Marie Bakitas, Dartmouth Medical School

9i. The Hosmer-Lemeshow Goodness of Fit Test for Multiply Imputed Data Danielle Sullivan and Rebecca R. Andridge*, The Ohio State University


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9j. Reverse Kaplan-Meier Method for Analyzing Biomarkers with Limit of Detection Tulay Koru-Sengul*, University of Miami

9k. Empirical Likelihood Based Tests for Stochastic Ordering in Right-censored Setting Hsin-wen Chang* and Ian W. McKeague, Columbia University

9l. Efficient Estimation using Conditional Empirical Likelihood with Missing Outcomes Peisong Han*, Lu Wang and Peter X.K. Song, University of Michigan

9m. A Perturbation Method for Prediction Accuracy with Regularized Regression Jessica Minnier and Tianxi Cai*, Harvard School of Public Health



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AM Monday, April 2

8:30 – 10:15 am

10. Statistical Genomics in Sequencing Era, from Data Analysis to Personal Medicine Sponsor: ENAR Organizer: Wei Sun, University of North Carolina at Chapel Hill Chair: Wei Sun, University of North Carolina at Chapel Hill

8:30 Quantitative Trait Analysis Under

Trait-Dependent Sampling, with Applications to the NHLBI Exome Sequencing ProjectDanyu Lin* and Donglin Zeng, University of North Carolina at Chapel Hill

8:55 A Survival-Supervised Latent Dirichlet Allocation Model for Genomic Based Studies of DiseaseJohn A. Dawson and Christina Kendziorski*, University of Wisconsin–Madison

9:20 Detection of RNA and DNA Sequence Differences in the Human TranscriptomeMingyao Li*, University of Pennsylvania

9:45 Estimation of Sequencing Error Rates in Short ReadsXin Victoria Wang*, Dana-Farber Cancer Institute, Harvard School of Public Health; Natalie Blades, Brigham Young University; Jie Ding, Dana-Farber Cancer Institute, Harvard School of Public Health; Razvan Sultana, Dana-Farber Cancer Institute, Boston University and Giovanni Parmigiani, Dana-Farber Cancer Institute, Harvard School of Public Health

10:10 Floor Discussion

11. Variable Selection for Complex Models Sponsor: IMS Organizer: Marie Davidian, North Carolina State University Chair: Marie Davidian, North Carolina State University

8:30 A ROAD to Classification in High

Dimensional SpaceJianqing Fan*, Princeton University; Yang Feng, Columbia University and Xin Tong, Princeton University

8:55 Bayesian Nonparametric Variable SelectionDavid Dunson*, Duke University

9:20 Risk Prediction from Genome-Wide DataNing Sun and Hongyu Zhao*, Yale School of Public Health

9:45 Complete Least Squares for Screening and Variable SelectionLeonard A. Stefanski*, Eric Reyes and Dennis Boos, North Carolina State University


12. Optimal and Personalized Treatment of HIV Sponsor: IMS Organizer: Michael Hudgens, University of North Carolina at Chapel Hill Chair: Michael Hudgens, University of North Carolina at Chapel Hill

8:30 Methods for Evaluating the Effects of Delayed

ARV Regimen ChangeBrent A. Johnson*, Emory University

9:00 Personalized Medicine for HIV Patients Initiating TherapyBrian Claggett*, Yun Chen, Michael Hughes, Heather Ribaudo, Camlin Tierney, and Katie Mollan, Harvard School of Public Health

9:30 Estimation of Constant and Time-Varying Dynamic Parameters of HIV Infection in a Nonlinear Differential Equation ModelHulin Wu*, Hongyu Miao and Hua Liang, University of Rochester


13. Statistical Methods for Hospital Comparisons Sponsor: ASA Biometrics Section Organizer: Tom Louis, Johns Hopkins University Chair: Debashis Ghosh, Penn State University

8:30 Hospital Comparisons, Issues and Approaches

Arlene Ash, University of Massachusetts Medical School; Stephen E. Fienberg, Carnegie Mellon University; Thomas A. Louis*, Johns Hopkins Bloomberg School of Public Health; Sharon-Lise T. Normand, Harvard Medical School and Harvard School of Public Health; Therese Stukel, University of Toronto and Jessica Utts, University of California, Irvine

9:00 Advantages of Unified Model-Based Approaches to Provider ProfilingFrank E. Harrell Jr, PhD., Department of Biostatistics, Vanderbilt University School of Medicine

9:20 Challenges Implementing a Hierarchical Model for Use in Public Reporting: The Case of “Hospital Compare.”Jeffrey H. Silber, MD, PhD., Departments of Pediatrics and Anesthesiology & Critical Care, School of Medicine; Department of Health Care Management, The Wharton School, University of Pennsylvania; Center for Outcomes Research, The Children’s Hospital of Philadelphia

9:40 Discussion: Statisticians & Health Policy Sharon-Lise T. Normand*, Harvard University



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AM 14. Statistical Evaluation of Diagnostic Performance

Using ROC Analysis Sponsor: ASA Health Policy Statistics Section Organizer: Kelly Zou, Pfizer Inc. Chair: A. James O’Malley, Harvard Medical School

8:30 Combining Biomarkers to Improve Diagnostic

AccuracyChunling Liu, Hong Kong Polytechnic University; Aiyi Liu*, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health and Susan Halabi, Duke University

9:00 Performance Evaluation in Tasks of Detection and Localzation of Multiple Targets per SubjectAndriy I. Bandos*, University of Pittsburgh

9:30 The Use of the Invariance Property in ROC AnalysisKelly H. Zou*, Pfizer Inc.

10:00 Discussant: Howard Rockette, University of Pittsburgh

15. Statistical Applications in Food Safety Sponsor: ENAR Organizer: Errol Strain, U.S. FDA Center for Food Safety and Applied Nutrition Chair: Yoko Adachi, FDR Center for Veterinary Medicine

8:30 Disproportionality Analyses for Detection Food

Adverse EventsStuart J. Chirtel*, U.S. Food and Drug Administration

9:00 Statistical Methods for Analysis of DNA AptamersYan Luo*, Jeffrey A. DeGrasse, Sara Handy, Andrea Ottesen and Errol Strain, U.S. Food and Drug Administration

9:30 Forensic Analysis of Bacterial Genomes for Foodborne OutbreaksErrol A. Strain*, Allard Marc, Eric Brown and Luo Yan, U.S. Food and Drug Adminstration


16. TOPIC CONTRIBUTED PAPERS: Synthetic Health Data for Confidentiality Control Sponsor: ENAR Organizer: Mandi Yu, National Cancer Institute, National Institutes of Health Chair: Yulei He, Harvard Medical School

8:30 Imputation of Confidential Datasets with Spatial Locations using Point Process ModelsThais V. Paiva* and Jerome P. Reiter, Duke University

8:50 Multiple Imputation using Chained Equations for High Dimensional Longitudinal Missing Data in the DCCT/EDIC StudyMichael D. Larsen*, Paula McGee and John M. Lachin, The George Washington University

9:10 Assessing the Privacy of Randomized Multivariate Queries to a Database Using the Area under the Receiver-Operator Characteristic CurveGregory J. Matthews*, University of Massachusetts and Ofer Harel, University of Connecticut

9:30 Disclosure Control in the CanCORSBronwyn Loong* and David Harrington, Harvard University; Alan Zaslavsky and Yulei He, Harvard Medical School

9:50 Partial Synthetic Data for Population-based Cancer Registry DataMandi Yu*, Li Zhu, Benmei Liu, Eric (Rocky) Feuer and Kathleen Cronin, National Cancer Institute, National Institutes of Health


17. TOPIC CONTRIBUTED PAPERS: Statistical Issues Arising from Alternatives to Double-Masked Randomized Controlled Trials Sponsor: ENAR Organizers: Scott Miller, Shiling Ruan, and Qin Li, U.S. Food and Drug Administration Chair: Scott Miller, U.S. Food and Drug Administration

8:30 A Regulatory View of the Statistical Challenges for Alternatives to Double-Masked Randomized Controlled TrialsGregory Campbell*, U.S. Food and Drug Administration

8:45 Study Design and Analysis issues with EFM-CADBipasa Biswas*, U.S. Food and Drug Administration



9:00 Assessing the “Success” of the Blind in Sham-Controlled Randomized Clinical TrialsValerie Durkalski* and Qi Wu, Medical University of South Carolina

9:15 Practices of Using Propensity Score Methods in Drug-Eluting Stent StudiesHong Wang* and H. Terry Liao, Boston Scientific Corporation

9:30 Study Designs for Postmarket SurveillanceTheodore Lystig* and Jeremy Strief, Medtronic, Inc.

9:45 Challenges in Non-Randomized Controlled Medical Device TrialsShelby Li* and Shufeng Liu, Medtronic, Inc.


18. CONTRIBUTED PAPERS: Statistical Genetics Sponsor: ENAR Chair: Kun Chen, Kansas State University

8:30 Nonlinear Sufficient Dimension Reduction for Association Testing of Complex TraitsHongjie Zhu*, Duke University; Lexin Li and Hua Zhou, North Carolina State University

8:45 A Graph-constrained Estimation and Regularization for Survival Analysis of Microarray Gene Expression DataHokeun Sun*, Columbia University and Hongzhe Li, University of Pennsylvania

9:00 Local Ancestry Inference in Admixed Nuclear Families using a Two-layer Clustering ModelWei Chen*, University of Pittsburgh and Yongtao Guan, Baylor College of Medicine

9:15 A Flexible Varying Coefficient Model for the Detection of Nonlinear Gene-Environment InteractionYuehua Cui and Cen Wu*, Michigan State University

9:30 Permutation-based Expression Pathway Analysis, Without Permutationn Yi-Hui Zhou* and Fred A. Wright, University of North Carolina at Chapel Hill

9:45 Response-selective Sampling Designs for Rare Variant Analysis in Genetic Association StudiesYildiz E. Yilmaz*, University of Toronto


19. CONTRIBUTED PAPERS: Spatial/Temporal Modeling Sponsor: ENAR Chair: Victoria Liublinska, Harvard University

8:30 A Geoadditive Imputation Approach to Measurement Error Correction with Spatially Misaligned Non-normal DataLauren Hund* and Till Baernighausen, Harvard School of Public Health; Frank Tanser, Africa Centre for Health and Population Studies and Brent Coull, Harvard School of Public Health

8:50 Modeling Air Pollution Mixtures in Southern CaliforniaReza Hosseini, Meredith Franklin*, Duncan Thomas and Kiros Berhane, University of Southern California

9:10 Flexible Bayesian Predictive Process Spatial Factor Models for Misaligned Data SetsQian Ren* and Sudipto Banerjee, University of Minnesota

9:30 High-Dimensional State Space Models for Dynamic Gene Regulatory networksIris Chen* and Hulin Wu, University of Rochester

9:50 A Stochastic and State Space Mixture Model of Human Liver Cancer Multiple-Pathway Model Involving both Hereditary and Non-hereditary CancerXiaowei (Sherry) Yan*, Geisinger Center for Health Research and Wai-Yuan Tan, University of Memphis


20. CONTRIBUTED PAPERS: Non-Linear, PK-PD, and Dose-Response Models Sponsor: ENAR Chair: Howard Chang, Emory University

8:30 Non-Linear Models for Multiple Flow Exhaled Nitric Oxide DataSandrah P. Eckel*, Kiros Berhane, William S. Linn, Muhammad T. Salam, Yue Zhang, Edward B. Rappaport and Frank D. Gilliland, University of Southern California

8:45 An Empirical Approach to Sufficient Similarity: Combining Exposure Data and Mixtures Toxicology DataChris Gennings*, Virginia Commonwealth University; Scott Marshall, BioStat Solutions, Inc. and LeAnna G. Stork, Monsanto Company

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9:00 Comparison of Different Biosimilarity Criteria under Various Study DesignsEric Chi, Amgen Inc.; Shein-Chung Chow, Duke University and Hao Zhang*, Amgen Inc.

9:15 Semiparametric Modeling of Dose-Response Relationships in Ex-Vivo ExperimentsSamiha Sarwat* and Jaroslaw Harezlak, Indiana University School of Medicine and Clarissa Valim, Harvard School of Public Health

9:30 Nonlinear Models for Meta-Analysis of Summary Exposure-Response DataPaul W. Stewart*, University of North Carolina at Chapel Hill and Vernon Benignus, U. S. Environmental Protection Agency

9:45 Statistical Inference for Dynamic Systems Governed by Differential Equations with Applications to Toxicologyn Siddhartha Mandal* and Pranab K. Sen, University of North Carolina at Chapel Hill and Shyamal D. Peddada, National Institute of Environmental Health Sciences, National Institutes of Health

10:00 A B-spline Based Semiparametric Nonlinear Mixed Effects ModelAngelo Elmi*, George Washington University; Sarah Ratcliffe, Samuel Parry and Wensheng Guo, University of Pennsylvania School of Medicine

21. CONTRIBUTED PAPERS: Longitudinal Data Sponsor: ENAR Chair: Benjamin French, University of Pennsylvania

8:30 A Bayesian Semiparametric Approach for Incorporating Longitudinal Information on Exposure History for Inference in Case-control StudiesDhiman Bhadra*, Worcester Polytechnic Institute; Michael J. Daniels, University of Florida; Sung Duk Kim, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health; Malay Ghosh, University of Florida and Bhramar Mukherjee, University of Michigan

8:45 Shared Parameter Models for Longitudinal Multiple Source Cost DataMulugeta Gebregziabher*, Medical University of South Carolina and Ralph H. Johnson VA Medical Center, Charleston; Yumin Zhao and Clara E. Dismuke, Ralph H. Johnson VA Medical Center, Charleston; Kelly J. Hunt, Ralph H. Johnson VA Medical Center, Charleston and Medical University of South Carolina and Leonard E. Egede, Ralph H. Johnson VA Medical Center, Charleston

9:00 A Mixture of Markov Models for Heterogeneous Longitudinal Ordinal Data with Applications to Analyzing Longitudinal Bacterial Vaginosis DataKyeongmi Cheon*, Paul S. Albert and Marie Thoma, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

9:15 Semiparametric Regression with Nested Repeated Measures DataRhonda D. VanDyke*, Resmi Gupta and Raouf S. Amin, Cincinnati Children’s Hospital Medical Center

9:30 Analysis of Longitudinal Data using ARMA(1,1) Correlation ModelSirisha L. Mushti* and N. Rao Chaganty, Old Dominion University

9:45 Generalized p-value Method for Testing Zero Variance in Linear Mixed-effects ModelsHaiyan Su*, Montclair State University; Xinmin Li, Shan Dong University of Technology; Hua Liang and Wulin Wu, University of Rochester

10:00 Variable Selection and Estimation for Multivariate Panel Count Data via the Seamless-L0 PenaltyHaixiang Zhang*, University of Missouri and University of Jilin, China and Jianguo Sun, University of Missouri

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Monday, April 2 (continued)

10:30 am – 12:15 pm

22. Correlated High-Dimensional Data Sponsor: ASA Section on Statistical Learning and Data Mining Organizer: Annie Qu, University of Illinois Chair: Annie Qu, University of Illinois

10:30 Positive Definite Sparse Estimators of

High-dimensional Covariance MatricesAdam J. Rothman*, University of Minnesota

10:55 Statistical Models for Analysis of Human Microbiome DataHongzhe Li*, University of Pennsylvania

11:20 Joint Statistical Modeling of Multiple High-dimensional DataYufeng Liu*, University of North Carolina at Chapel Hill

11:45 On Maximum Likelihood Estimation of Multiple Precision MatricesXiaotong Shen*, Yunzhang Zhu and Wei Pan, University of Minnesota


23. Current Developments In Bayesian Clinical Trials Sponsor: ENAR Organizer: Karen Price, Eli Lilly & Company Chair: Karen Price, Eli Lilly & Company

10:30 Bayesian Applications in Drug Safety

EvaluationAmy Xia*, Amgen, Inc.

11:00 Commensurate Priors for Incorporating Historical Information in Clinical Trials using General and Generalized Linear ModelsBrian P. Hobbs, University of Texas MD Anderson Cancer Center; Daniel J. Sargent, Mayo Clinic and Bradley P. Carlin*, University of Minnesota

11:30 Identifying Potential Adverse Events Dose-Response Relationships via Bayesian Indirect and Mixed Treatment Comparison ModelsHaoda Fu*, Karen L. Price, Mary E. Nilsson and Stephen J. Ruberg, Eli Lilly & Company

12:00 Discussant: George Rochester, U.S. Food and Drug Administration

24. Causal Inference and Measurement Error Sponsor: IMS Organizer: Tyler Vanderweele, Harvard University Chair: Tyler Vanderweele, Harvard University

10:30 Analytic Results on the Bias due to Nondifferential Misclassification of a ConfounderElizabeth L. Ogburn* and Tyler J. VanderWeele, Harvard University

10:55 Measurement Bias in Causal Inference: A Graph-based PerspectiveJudea Pearl*, University of California at Los Angeles

11:20 Mediation Analysis when Mediator is Mis-measured or Mis-classified and Outcome is ContinuousLinda Valeri* and Tyler J. VanderWeele, Harvard University

11:45 Average Causal Effect Estimation Allowing Covariate Measurement ErrorYi Huang* and Xiaoyu Dong, University of Maryland, Baltimore County; Karen Bandeen-Roche, Johns Hopkins University and Cunlin Wang, U.S. Food and Drug Administration


25. Two-Phase Estimation Sponsor: ASA Survey Research and Methodology Section Organizer: Phillip Kott, RTI International Chair: Dan Liao, RTI International

10:30 Investigating Alternative ways of Estimating

the Proportion of a Population with Serious Mental Illness from a Two-Phase SamplePhillip S. Kott*, Dan Liao and Jeremy Aldworth, RTI International

11:00 Efficient Design and Inference for Gene X Environment Interaction, using Sequencing DataKenneth Rice*, University of Washington and Thomas Lumley, University of Auckland

11:30 A Model Assisted Approach to Combining Data from two Independent SurveysJae-kwang Kim*, Iowa State University and J.N.K. Rao, Carleton University, Canada


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26. Semi-Competing Risks Sponsor: ENAR Organizer: Qingxia Chen, Vanderbilt University Chair: Qingxia Chen, Vanderbilt University

10:30 Bayesian Gamma Frailty Models for

Survival Data with Semi-Competing Risks and Treatment SwitchingYuanye Zhang and Ming-Hui Chen*, University of Connecticut; Joseph G. Ibrahim and Donglin Zeng, University of North Carolina at Chapel Hill; Qingxia Chen, Vanderbilt University; Zhiying Pan and Xiaodong Xue, Amgen Inc.

10:55 Quantile Regression Methods for Semi-Competing Risks DataLimin Peng*, Emory University

11:20 Nonparametric Cause-specific Association Analyses of Multivariate Untied or Tied Competing Risks DataHao Wang and Yu Cheng*, University of Pittsburgh

11:45 Estimation of Time-dependent Association for Bivariate Failure Times in the Presence of a Competing RiskJing Ning*, University of Texas MD Anderson Cancer Center and Karen Bandeen-Roche, Johns Hopkins University


27. Graduate Student and Recent Graduate Council Invited Session: Careers in Biostatistics Sponsor: ENAR Organizer: Hormuzd Katki, National Cancer Institute, National Institutes of Health Chair: Reneé Moore, University of Pennsylvania

10:30 The Graduate Student and Recent Graduate CouncilHormuzd Katki*, National Cancer Institute, National Institutes of Health

10:55 Are You a Hedgehog or a Fox? Brief Comments on a Career in Statistical ConsultingJennifer Schumi*, Statistics Collaborative

11:20 Careers of Statisticians and Biostatisticians in the GovernmentTelba Irony*, U. S. Food and Drug Administration/CDRH

11:45 Living and Working in Academia Post GraduationKimberly L. Drews*, The George Washington University Biostatistics Center


28. TOPIC CONTRIBUTED PAPERS: Statistical Challenges of Spatial Multi-Pollutant Data in Environmental Epidemiology Sponsor: ENAR Organizer: Stacey E. Alexeeff, Harvard School of Public Health Chair: Brent A. Coull, Harvard School of Public Health

10:30 Methods for Spatially-varying Measurement Error in Air Pollution EpidemiologyStacey E. Alexeeff*, Harvard School of Public Health; Raymond J. Carroll, Texas A&M University and Brent A. Coull, Harvard School of Public Health

10:50 Reduced Bayesian Hierarchical Models: Estimating Health Effects of Simultaneous Exposure to Multiple PollutantsJennifer F. Bobb*, Johns Hopkins Bloomberg School of Public Health; Francesca Dominici, Harvard School of Public Health and Roger D. Peng, Johns Hopkins Bloomberg School of Public Health

11:10 Spatial Variable Selection Methods for Estimating Health Effects of Speciated Particulate MatterLaura F. Boehm*, North Carolina State University; Francesca Dominici, Harvard School of Public Health; Brian J. Reich and Montserrat Fuentes, North Carolina State University

11:30 Bayesian Spatially-varying Coefficient Models for Estimating the Toxicity of the Chemical Components of Fine Particulate MatterYeonseung Chung*, Korea Advanced Institute of Science and Technology; Francesca Dominici, Michelle Bell and Brent Coull, Harvard School of Public Health

11:50 A Bivariate Space-time Downscaler under Space and Time MisalignmentVeronica J. Berrocal*, University of Michigan, Alan E. Gelfand, Duke University and David M. Holland, U.S. Environmental Protection Agency


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29. TOPIC CONTRIBUTED PAPERS: Sample Size Adjustments for Clinical Trials with Multiple Comparisons Sponsor: ENAR Organizer: Yi Tsong, U.S. Food and Drug Administration Chair: Jinglin Zhong, U.S. Food and Drug Administration

10:30 Sample Sizes for Trials involving Multiple

Correlated Must-win ComparisonsSteven A. Julious*, University of Sheffield and Nikki E. McIntyre, AstraZeneca

10:50 Sample Sizes Accounting for Multiplicity: Importance in Phase 2Brian L. Wiens*, Srichand Jasti and John W. Seaman, Alcon Laboratories, Inc.

11:10 Power and Sample Size Determination in Clinical Trials with Two-Correlated Relative RisksToshimitsu Hamasaki*, Osaka University Graduate School of Medicine; Scott Evans, Harvard University School of Public Health; Tomoyuki Sugimoto, Hirosaki University and Takashi Sozu, Kyoto University School of Public Health

11:30 Test and Power Considerations for Multiple Endpoint Analyses using Sequentially Rejective Graphical ProceduresFrank Bretz*, Willi Maurer and Ekkehard Glimm, Novartis

11:50 Sample Size of Thorough QTc Clinical Trial Adjusted for Multiple ComparisonsYi Tsong*, U.S. Food and Drug Administration and Xiaoyu Dong, University of Maryland at Baltimore County


30. CONTRIBUTED PAPERS: Adaptive Design/Adaptive Randomization Sponsor: ENAR Chair: Bo He, University of Texas at Houston

10:30 Platform-based Clinical Trial Designs for

Efficient Drug Development StrategiesBrian P. Hobbs* and. J. Jack Lee, University of Texas MD Anderson Cancer Center

10:45 A Bayesian Decision-Theoretic Sequential-Response Adaptive Randomization DesignFei Jiang*, Rice University; J. Jack Lee, University of Texas MD Anderson Cancer Center and Peter Mueller, University of Texas at Austin

11:00 Extending the TITE CRM to Multiple OutcomesJoseph S. Koopmeiners*, University of Minnesota

11:15 A Bayesian Adaptive Allocation Method for Clinical Trials with Dual ObjectivesRoy T. Sabo*, Ghalib Bello, Lauren Grant, Cathy Roberts, Amir A. Toor and John M. McCarty, Virginia Commonwealth University

11:30 A Simulation Study to Decide the Timing of an Interim Analysis in a Bayesian Adaptive Dose-finding Studies with Delayed ResponsesXiaobi Huang*, Merck & Co., Inc. and Haoda Fu, Eli Lilly and Company

11:45 A Trivariate Continual Reassessment Method for Phase I/ II Trials of Toxicity, Efficacy, and Surrogate EfficacyWei Zhong*, Joseph S. Koopmeiners and Bradley P. Carlin, University of Minnesota


31. CONTRIBUTED PAPERS: Biomarkers I Sponsor: ENAR Chair: Philip Westgate, University of Kentucky

10:30 Lognormal and Gamma Models to Estimate

Means for Skewed Biomarker Data Subject to Assay PoolingEmily M. Mitchell* and Robert H. Lyles, Emory University; Neil J. Perkins and Enrique F. Schisterman, National Institute of Child Health and Development, National Institutes of Health

10:45 Applying the Patient Rule Induction Method (PRIM) to Identify Prognostic and Predictive Biomarkers in Drug Development for Survival DataGong Chen* and Viswanath Devanarayan, Abbott Labs

11:00 Prospective Pooling for Discrete Survival OutcomeParamita Saha Chaudhuri*, Duke University School of Medicine; David M. Umbach and Clarice R. Weinberg, National Institute of Environmental Health Sciences, National Institutes of Health

11:15 An Application of the Rare and Weak Model in Biomarker Discovery in Proteomics StudyXia Wang*, University of Cincinnati and Nell Sedransk, National Institute of Statistical Sciences

11:30 Meta-Regression Models to Detect Biomarkers Confounded by Study-level Covariates in Major Depressive Disorder Microarray DataXingbin Wang*, Etienne Sibille and George C. Tseng, University of Pittsburgh

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11:45 Estimation of C-index for Censored Biomarker Data in Cox Proportional Hazard ModelYeonhee Kim*, INC Research and Lan Kong, Penn State Hershey College of Medicine

12:00 Logistic Regression Analysis of Biomarker Data Subject to Pooling and DichotomizationZhiwei Zhang*, U.S. Food and Drug Administration; Aiyi Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health; Robert H. Lyles, Emory University and Bhramar Mukherjee, University of Michigan

32. CONTRIBUTED PAPERS: Causal Inference Sponsor: ENAR Chair: George Michailidis, University of Michigan

10:30 Causal Inference with Treatment Delay: Evaluating Medication use in Women with High Risk for Preterm Birth via Propensity Score MatchingErinn Hade, Bo Lu* and Hong Zhu, The Ohio State University

10:45 A New Distribution-free Approach for Longitudinal Mediation Analysis with Non-continuous Outcomes and MediatorsDouglas D. Gunzler*, Case Western Reserve University

11:00 Large Sample Properties of Multiplicative Treatment Effect Estimate using Propensity-Score MatchingDiqiong Xie* and Michael P. Jones, Universityof Iowa

11:15 Principal Stratification for Assessing Mediation with a Continuous MediatorRobert Gallop*, West Chester University

11:30 Targeted Minimum Loss Based Estimation of Causal Effects of Multiple Time Point InterventionsMark J. van der Laan, University of California, Berkeley and Susan Gruber*, Harvard School of Public Health

11:45 A Data-Adaptive Approach for Modeling Propensity ScoresYeying Zhu* and Debashis Ghosh, The Pennsylvania State University; Nandita Mitra, University of Pennsylvania and Bhramar Mukherjee, University of Michigan


33. CONTRIBUTED PAPERS: Epidemiologic Methods Sponsor: ENAR Chair: Ghideon Ghebregiorgis, U.S. Food and Drug Administration

10:30 A Path-Specific SEIR Model for use with General Latent and Infectious Time DistributionsAaron T. Porter* and Jacob J. Oleson, University of Iowa

10:45 Semi-parametric Methods for Relative Risk Center Effect MeasuresKevin He* and Douglas E. Schaubel, University of Michigan

11:00 A General Binomial Regression Model for Estimating Standardized Risk Differences from Cohort DataStephanie A. Kovalchik*, National Cancer Institute, National Institutes of Health; Ravi Varadhan, Johns Hopkins University School of Medicine; Barbara Fetterman and Nancy E. Poitras, Kaiser Permanente; Sholom Wacholder and Hormuzd A. Katki, National Cancer Institute, National Institutes of Health

11:15 prLogistic: An R Package for Estimation of Prevalence Ratios using Logistic ModelsLeila D. Amorim*, University of North Carolina at Chapel Hill and Raydonal Ospina, Federal University of Pernambuco, Brazil

11:30 Extending Matrix and Inverse Matrix Methods: Another Look at Barron’s ApproachLi Tang* and Robert H. Lyles, Emory University; David D. Celantano, Johns Hopkins Bloomberg School of Public Health and Yungtai Lo, Montefiore Medical Center and Albert Einstein College of Medicine

11:45 Pattern-Mixture Models for Addressing Outcome Misclassification from Proxies Responding on Behalf of Participants with Informatively Missing Self-ReportsMichelle Shardell*, University of Maryland School of Medicine


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12:15 – 1:30 pm | Roundtable Luncheons

1:45 – 3:30 pm

34. Recent Advances On High-Dimensional Medical Data Analysis Sponsor: ASA Section on Statistical Learning and Data Mining Organizer: Hua Liang, University of Rochester Chair: Hua Liang, University of Rochester

1:45 Feature Screening via Distance Correlation LearningRunze Li*, Wei Zhong, Penn State University and Liping Zhu, Shanghai University of Finance and Economics

2:10 Time-Varying Signal Detection for Correlated DataAnnie Qu*, University of Illinois at Urbana- Champaign; Lan Xue, Oregon State University and Colin Wu, National Heart, Lung and Blood Institute, National Institutes of Health

2:35 SOFARE: Selection of Fixed and Random Effects in High-Dimensional Longitudinal Data AnalysisYun Li, University of Michigan; Sijian Wang, University of Wisconsin-Madison; Peter X.K. Song*, Naisyin Wang and Ji Zhu, University of Michigan

3:00 Variable Selection for Optimal Treatment DecisionHao Helen Zhang*, University of Arizona; Wenbin Lu, North Carolina State University and Donglin Zeng, University of North Carolina at Chapel Hill


35. Bayesian Approaches with Applications to Genomics Sponsor: ENAR Organizer: Steve Qin, Emory University Chair: Hao Wu, Emory University

1:45 Bayesian Inference of Chromosome Local

3D Structures from Hi-C DataMing Hu* and Ke Deng, Harvard University; Zhaohui S. Qin, Emory University and Jun S. Liu, Harvard University

2:10 Inferring Social Networks from Molecular and Linguistic DataMarc A. Suchard*, University of California at Los Angeles

2:35 Bayesian Approaches for the Integration of Large-Scale DataMarina Vannucci*, Rice University

3:00 Bayesian Hierarchical Graph-Structured Model with Application to Pathway Analysis Using Gene Expression DataHui Zhou and Tian Zheng*, Columbia University


36. New Trends in Statistical Analysis of Biological Networks Sponsor: ASA Section on Statistical Learning and Data Mining Organizer: Ali Shojaie, University of Washington Chair: Peng Wei, University of Texas Health Sciences Center

1:45 New Tools for Systems-Level Analysis of

Regulation and Signaling DynamicsAlexander Franks and Edoardo M. Airoldi*, Harvard University

2:10 Dynamic Models for Baboon Grooming NetworksDavid L. Banks* and Yingbo Li, Duke University

2:35 Biologically-Structured Latent Factor Models for Identification of Cellular Mechanism of ActionLisa Pham, Eric D. Kolaczyk*, Luis E. Carvalho, Boston University; Stephane Robin, ParisAgroTech and Scott E. Schaus, Boston University

3:00 Inferring Gene Regulatory Networks by Integrating Perturbation Screens and Steady-State Expression ProfilesAli Shojaie*, University of Washington; Alexandra Jauhiainen, Michael Kallitsis and George Michailidis, University of Michigan


37. Mathematical Modeling of Disease Sponsor: IMS Organizer: Franziska Michor, Dana-Farber Cancer Institute Chair: Franziska Michor, Dana-Farber Cancer Institute

1:45 Dynamics of Treatment Responses in Chronic

Myeloid LeukaemiaMin Tang* and Franziska Michor, Dana-Farber Cancer Institute and Harvard School of Public Health; Mithat Gonen, Memorial Sloan-Kettering Cancer Center; Alfonso Quintas-Cardama, Jorge Cortes and Hagop Kantarjian, University of Texas MD Anderson Cancer Center; Chani Field, Timothy P. Hughes and Susan Branford, University of Adelaide, Adelaide, Australia

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2:15 Mathematical Modeling of Pancreatic Cancer Progression Reveals Dynamics of Growth and Dissemination and Suggests Optimum Treatment StrategiesHiroshi Haeno, Dana-Farber Cancer Institute; Mithat Gonen, Memorial Sloan-Kettering Can-cer Center; Meghan Davis, Joseph Herman and Christine Iacobuzio-Donahue, Johns Hopkins University and Franziska Michor*, Dana-Farber Cancer Institute

2:45 Patient-Specific Mathematical Modeling of Glioma Proliferation and Invasion: Informing Treatment Design and Patient StratificationKristin Swanson*, Russ Rockne, Dave M. Corwin, Robert Stewart, Mark Philips, Clay Holdsworth, Andrew Trister, Jason Rockhill and Maciej Mrugala, University of Washington


38. High Dimensional Multi-Drug Combinations: from Preclinical Models to Clinical Trials Sponsor: ASA Biometrics Section Organizer: Hong-Bin Fang, University of Maryland Chair: Hong-Bin Fang, University of Maryland

1:45 Statistical Methods for Preclinical Multi-Drug

CombinationMing T. Tan*, University of Maryland School of Medicine

2:15 Dose-finding Methods for Combinations of AgentsMark R. Conaway*, University of Virginia

2:45 A Bayesian Dose-finding Design for Drug Combination Trials with Delayed ToxicitiesSuyu Liu and Ying Yuan*, University of Texas MD Anderson Cancer Center

3:15 Discussant: Mourad Tighiouart, Samuel Oschin Comprehensive Cancer Institute

39. Group Testing Methodology: Recent Developments and Applications to Infectious Disease Sponsor: ASA Health Policy Statistics Section Organizer: Elena Bordonali, University of North Carolina at Chapel Hill Chair: Aiyi Liu, National Institutes of Health

1:45 Marginal Regression Models for Multiple-Disease Group Testing DataChristopher R. Bilder*, Boan Zhang, University of Nebraska-Lincoln and Joshua M. Tebbs, University of South Carolina

2:15 System of Equations Approach to Pooled Nucleic Acid Testing for Failing Antiretroviral TherapyTanya S. Granston* and Susanne May, University of Washington and Davey M. Smith, University of California at San Diego

2:45 Two-dimensional Informative Array TestingChristopher S. McMahan, Joshua M. Tebbs*, University of South Carolina and Christopher R. Bilder, University of Nebraska-Lincoln


40. TOPIC CONTRIBUTED PAPERS: Novel Developments In Statistical Blind Source Separation And Independent Components Analysis Sponsor: ENAR Organizer: Brian Caffo, Johns Hopkins University Chair: Vadim Zipunnikov, Johns Hopkins University

1:45 A New Probabilistic Group ICA Method for Modeling Between-Subject Variability in Brain Functional NetworksYing Guo* and Li Tang, Emory University

2:05 Nonparametric Independent Component Analysis with Application to EEG DataSeonjoo Lee*, Henry Jackson Foundation; Haipeng Shen and Young Truong, University of North Carolina at Chapel Hill

2:25 Independent Component Analysis for Functional Imaging DataAni Eloyan*, Brian Caffo and Ciprian Crainiceanu, Johns Hopkins University

2:45 Independent Component Analysis via Distance CovarianceDavid S. Matteson*, Cornell University and Ruey S. Tsay, University of Chicago

3:05 A Bayesian Random Shape Model for fMRI and MRI DataLijun Zhang*, Jian Kang and F. DuBois Bowman, Emory University


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41. TOPIC CONTRIBUTED PAPERS: Causal Inference And Survival Analysis Sponsor: ENAR Organizer: Min Zhang, University of Michigan Chair: Min Zhang, University of Michigan

1:45 Estimating the Average Treatment Effect on Mean Survival Time when Treatment is Time-Dependent and Censoring is DependentDouglas E. Schaubel* and Qi Gong, University of Michigan

2:05 Matching Methods for Obtaining Survival Functions to Estimate the Effect of a Time-Dependent TreatmentYun Li* and Douglas E. Schaubel, University of Michigan

2:25 Optimization of Dynamic Treatment Regimes for Recurrent DiseasesXuelin Huang* and Jing Ning, University of Texas MD Anderson Cancer Center

2:45 Prediction of Survival and Variable Importance in Medical Informatics: Targeted Maximum Likelihood Estimation (T-MLE) and SuperLearning Applied to High Dimensional Longitudinal Data to Predict Survival Times among Severe Trauma PatientsAlan Hubbard*, University of California, Berkeley; Mitch Cohen, University of California, San Francisco; Anna Decker and Ivan Diaz, University of California, Berkeley and Matthew Kutcher, University of California, San Francisco

3:05 A Semiparametric Recurrent Events Model with Time-varying CoefficientsZhangsheng Yu*, Indiana University School of Medicine and Lei Liu, University of Virginia


42. CONTRIBUTED PAPERS: Clinical Trials Sponsor: ENAR Chair: Yanlei Peng, University of South Carolina

1:45 Estimating Covariate-Adjusted Log Hazard Ratios in Randomized Clinical Trials using Cox Proportional Hazards Models and Nonparametric Randomization Based Analysis of CovarianceBenjamin R. Saville*, Vanderbilt University and Gary G. Koch, University of North Carolina at Chapel Hill

2:00 A Bayesian Phase I/II Design for Oncology Clinical Trials of Combinational Biological AgentsChunyan Cai*, Ying Yuan and Yuan Ji, University of Texas MD Anderson Cancer Center

2:15 Empirical Bayesian Methods for Enrollment and Event Projection in Oncology TrialsJingyang Zhang*, University of Iowa; Luyan Dai and Wei Zhang, Boehringer Ingelheim Pharmaceuticals, Inc.

2:30 Analysis of Zero-Inflated Count Data from Clinical Trials with Potential DropoutsJingyuan Yang*, Amgen Inc.; Xiaoming Li, Gilead Sciences, Inc. and Guanghan F. Liu, Merck & Co.

2:45 A Generalized Continual Reassessment Method for Two-Agent Phase I TrialsThomas M. Braun and Nan Jia*, University of Michigan

3:00 A Hierarchical Bayesian Design in Randomized Phase II Clinical Trials with Multiple Subgroups Using Binary EndpointsQian Shi, Mayo Clinic; Jun Yin*, University of Iowa; Daniel J. Sargent, Charles Erlichman and Rui Qin, Mayo Clinic

3:15 Variable Selection for Covariate-Adjusted Semiparametric Inference in Randomized Clinical TrialsShuai Yuan*, Helen Zhang and Marie Davidian, North Carolina State University

43. CONTRIBUTED PAPERS: Competing Risks Sponsor: ENAR Chair: Ani Eloyan, Johns Hopkins University

1:45 Frailty-based Competing Risks Model for Multivariate Survival DataMalka Gorfine*, Technion – Israel Institute of Technology and Li Hsu, Fred Hutchinson Cancer Research Center

2:00 Semiparametric Estimation in the Proportional Subdistribution Hazards Model with Missing Cause of FailureJonathan G. Yabes* and Chung-Chou H. Chang, University of Pittsburgh

2:15 Hierarchical Likelihood Inference on Clustered Competing Risks DataNicholas J. Christian*, University of Pittsburgh

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2:30 Subdistribution Regression with Left-Truncated Semi-Competing Risks DataRuosha Li*, University of Pittsburgh and Limin Peng, Emory University

2:45 Simulating Clustered Competing Risks DataRuta Brazauskas*, John P. Klein and Jennifer G. Le-Rademacher, Medical College of Wisconsin

3:00 Analysis of Dependently Censored Data based on Quantile RegressionShuang Ji* and Limin Peng, Emory University; Ruosha Li, University of Pittsburgh and Michael J. Lynn, Emory University


44. CONTRIBUTED PAPERS: Functional Data Analysis Sponsor: ENAR Chair: Peng Wang, Bowling Green State University

1:45 Longitudinal Survey Sampling of Functional DataDavid Degras*, DePaul University

2:00 Corrected Confidence Bands for Functional Data using Principal Componentsn Jeff Goldsmith*, Johns Hopkins Bloomberg School of Public Health; Sonja Greven, Ludwig-Maximilians-University and Ciprian Crainiceanu, Johns Hopkins Bloomberg School of Public Health

2:15 Optimal Smoothing Bandwidth Selection Methods for Functional DataJingjing Yang*, David W. Scott and Dennis D. Cox, Rice University

2:30 Multiscale Adaptive Composite Quantile Regression Models for Neuroimaging DataLinglong Kong* and Hongtu Zhu, University of North Carolina at Chapel Hill

2:45 Estimation of Functional Curve Peak Locations for Detection of Cervical Pre-cancerLu Wang* and Dennis D. Cox, Rice University

3:00 Longitudinal Functional Regression Models with Structured PenaltiesMadan G. Kundu*, Jaroslaw Harezlak, Indiana University School of Medicine and Timothy W. Randolph, Fred Hutchinson Cancer Research Center

3:15 Functional Mixed-Effects Models for Multiple OutcomesStephanie A. Kliethermes* and Jacob J. Oleson, University of Iowa

45. CONTRIBUTED PAPERS: Genome-Wide Association Studies Sponsor: ENAR Chair: Kristen Foley, U.S. Environmental Protection Agency

1:45 Genome-wide Association Analysis for Multiple Continuous Secondary PhenotypesElizabeth D. Schifano*, Lin Li, David C. Christiani and Xihong Lin, Harvard School of Public Health

2:00 Longitudinal Genetic Analysis of Quantitative TraitsRuzong Fan*, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

2:15 Incorporating Group Correlations in enome-Wide Association Studies using Smoothed Group LASSOJin Liu*, Yale University; Jian Huang, University of Iowa; Shuangge Ma, Yale University and Kai Wang, University of Iowa

2:30 A Penalized Likelihood Approach for Pharmacogenetic Studies via Understanding Haplotype Effect Structures for Gene and Gene-Drug InteractionsMegan L. Neely*, Duke University; Howard D. Bondell and Jung-Ying Tzeng, North Carolina State University

2:45 The Effect of Population Stratification on Association Studies with Next Generation SequencingQianying Liu*, Lin Chen and Dan L. Nicolae, University of Chicago

3:00 Family-Based Association Tests using Genotype Data with UncertaintyZhaoxia Yu*, University of California, Irvine


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3:30 – 3:45 pm | Break

3:45 – 5:30 pm

46. Statistical Models for OMICS Data Sponsor: ENAR Organizer: Yuan Ji, University of Texas MD Anderson Cancer Center Chair: Wei Sun, University of North Carolina at Chapel Hill

3:45 Differential Principal Component Analysis of

ChIP-seqHongkai Ji* and Yang Ning, Johns Hopkins University Bloomberg School of Public Health

4:10 Bayesian Hierarchical Functional Models for High-dimensional Genomics dataVeera Baladandayuthapani*, Jeffrey S. Morris and Yuan Ji, University of Texas MD Anderson Cancer Center

4:35 A Bayesian Graphical Model for ChIP-Seq Data on Histone ModificationsPeter Mueller*, University of Texas at Austin; Riten Mitra, Shoudan Liang, Lu Yue and Yuan Ji, University of Texas MD Anderson Cancer Center

5:00 A Bayesian Network Analysis for Single-Cell Mass Cytometry DataRiten Mitra and Yuan Ji*, University of Texas MD Anderson Cancer Center and Peter Mueller, University of Texas at Austin


47. Tweedie Award Sponsor: IMS Organizer: Yi Li, University of Michigan Chair: Yi Li, University of Michigan

3:45 Statistical Learning with High-dimensional Data

Hui Zou*, University of Minnesota

4:15 Adaptive Estimation of Large Covariance MatricesTony Cai*, University of Pennsylvania and Ming Yuan, Georgia Institute of Technology

4:45 Discussant: Peter Hall, University of California-Davis and University of Melbourne


48. Recent Development in Optimal Treatment Strategies — Estimation, Selection, And Inference Sponsor: ASA Biometrics Section Organizer: Wenbin Lu, North Carolina State University Chair: Hao Helen Zhang, North Carolina State University

3:45 Evaluating Optimal Treatment Policies based

on Gene Expression ProfilesIan McKeague* and Min Qian, Columbia University

4:10 Iterative Outcome Weighted Learning for Estimating Optimal Dynamic Treatment RegimeDonglin Zeng*, Yingqi Zhao and Michael Kosorok, University of North Carolina at Chapel Hill

4:35 Up-front vs. Sequential Randomizations for Inference on Adaptive Treatment StrategiesAbdus S. Wahed* and Jin.H.Ko, University of Pittsburgh

5:00 Inference for Dynamic Treatment RegimesEric B. Laber*, North Carolina State University; Daniel J. Lizotte, University of Waterloo; Min Qian, Columbia University and Susan A. Murphy, University of Michigan


49. Challenging Issues in Functional Connectivity Analysis Sponsor: ASA Statistics in Neuroimaging Organizer: Hongtu Zhu, University of North Carolina at Chapel Hill Chair: Hernando Ombao, University of California at Irvine

3:45 Persistent Homological Network Modeling

via Graph FiltrationMoo K. Chung*, University of Wisconsin-Madison

4:10 Predicting Neurological Disorders using Functional and Structural Brain Imaging DataBrian S. Caffo*, Ciprian Crainiceanu, Han Liu, Ani Eloyan, John Muschelli, Fang Han and Tuo Zhao, Johns Hopkins University

4:35 Functional Connectivity through Color Independent Component AnalysisHaipeng Shen*, University of North Carolina at Chapel Hill

5:00 Spatial and Adaptive Models for Brain Functional ConnectivityHongtu Zhu*, University of North Carolina at Chapel Hill and Japing Wang, Princeton University


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50. Recent Developments in Subgroup Analysis in Randomized Clinical Trials Sponsor: ASA Biopharmaceutical Section Organizer: Mohammed Alosh, U.S. Food and Drug Administration Chair: Mohammed Alosh, U.S. Food and Drug Administration

3:45 Key Statistical Considerations for Clinical Trials

with Tailoring ObjectivesAlex Dmitrienko*, Quintiles and Brian Millen, Eli Lilly and Company

4:15 Predictive Analysis of Clinical TrialsRichard M. Simon*, National Cancer Institute, National Institutes of Health

4:45 Multiplicity Considerations for Hypotheses Testing for a Targeted Subgroup Trial DesignMohammad F. Huque* and Mohammed Alosh, U.S. Food and Drug Administration

5:15 Discussant: Gary Koch, University of North Carolina-Chapel Hill

51. Recent Advances in Methodology for the Analysis Of Failure Time Data Sponsor: ENAR Organizer: Doug Schaubel, University of Michigan Chair: Doug Schaubel, University of Michigan

3:45 Marginal Additive Hazards Model for Case-

Cohort Studies with Multiple Disease OutcomesSangwook Kang, University of Connecticut; Jianwen Cai* and Lloyd Chambless, University of North Carolina at Chapel Hill

4:10 Statistical Methods for Assessing Urgency and Transplant Benefit in the Presence of Dependent CensoringSusan Murray* and Fang Xiang, University of Michigan

4:35 Semiparametrically Efficient Treatment Effect Estimation in the Analysis of Recurrent EventsAdin-Cristian Andrei*, Northwestern University

5:00 Estimating Treatment Effects from a Randomized Clinical Trial in the Presence of Post-study TreatmentMin Zhang*, University of Michigan and Yanping Wang, Eli Lilly and Company


52. TOPIC CONTRIBUTED PAPERS: New Methods and Theory in Functional/Longitudinal Data Analysis Sponsor: ENAR Organizer: Yehua Li, University of Georgia Chair: Yehua Li, University of Georgia

3:45 Spline Confidence Bands for Functional DerivativesGuanqun Cao*, Michigan State University; Jing Wang, University of Illinois at Chicago; Li Wang, University of Georgia and David Todem, Michigan State University

4:05 Generalized Functional Linear RegressionXiao Wang, Purdue University and Pang Du*, Virginia Tech

4:25 Regularized Smoothing in Functional Linear ModelsToshiya Hoshikawa* and Tailen Hsing, University of Michigan

4:45 Simultaneous Variable Selection and Estimation in Semiparametric Modeling of Longitudinal / Clustered DataShujie Ma, University of California-Riverside; Qiongxia Song, University of Texas at Dallas and Lily Wang*, University of Georgia

5:05 Robust Regularized Singular Value Decomposition for Two Way Functional DataLingsong Zhang*, Purdue University; Haipeng Shen, University of North Carolina at Chapel Hill and Jianhua Huang, Texas A&M University


53. TOPIC CONTRIBUTED PAPERS: Multivariate Methods in High Dimensional Data Sponsor: ENAR Organizer: Abdus Sattar, Case Western Reserve University Chair: Abdus Sattar, Case Western Reserve University

3:45 A Calibrated Multiclass Extension of AdaBoostDaniel B. Rubin*, U.S. Food and Drug Administration

4:05 Predicting Mortality in an Elderly Population using Machine LearningSherri Rose*, Johns Hopkins Bloomberg School of Public Health

4:25 Efficient Multi-Marker Tests for Association in Case-Control StudiesMargaret A. Taub*, Johns Hopkins University; Holger Schwender, TU Dortmund University, Dortmund, Germany; Ingo Ruczinski and Thomas A. Louis, Johns Hopkins University

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4:45 Estimation of a Non-parametric Variable Importance Measure of a Continuous ExposureAntoine Chambaz*, Université Paris Descartes and CNRS, Pierre Neuvial, Université d’Evry Val d’Essonne and Mark J. van der Laan, University of California, Berkeley

5:05 Targeted Maximum Likelihood Estimation: Assessing Causal Effects using High-Dimensional Longitudinal Data StructuresMarco Carone* and Mark J. van der Laan, University of California, Berkeley

5:25 Floor Discussion 54. CONTRIBUTED PAPERS:

Bayes and Other Approaches to Variable and Model Selection Sponsor: ENAR Chair: Xin Huang, Fred Hutchinson Cancer Research Center

3:45 Determining Associations Among Environmental Chemicals, Nutrition and Health OutcomesCaroline Carr*, Chris Gennings and Roy Sabo, Virginia Commonwealth University and Pam Factor-Litvak, Columbia University

4:00 Bayes Variable Selection in Semiparametric Linear Modelsn Suprateek Kundu*, University of North Carolina at Chapel Hill and David B. Dunson, Duke University

4:15 Sure Screening for Estimating Equations in Ultra-High Dimensionsn Sihai D. Zhao*, Harvard University

4:30 Estimating Link Function Parameters in Robust Bayesian Binary RegressionVivekananda Roy*, Iowa State University

4:45 Calibrated Bayes Factors for Model ComparisonXinyi Xu*, Pingbo Lu, Steven MacEachern and Ruoxi Xu, The Ohio State University

5:00 A Systematic Selection Method for the Development of Cancer Staging SystemsYunzhi Lin* and Richard J. Chappell, University of Wisconsin-Madison and Mithat Gönen, Memorial Sloan-Kettering Cancer Center


55. CONTRIBUTED PAPERS: Clustered/Repeated Measures Survival Analysis Sponsor: ENAR Chair: Xuelin Huang, University of Texas MD Anderson Cancer Center

3:45 Testing for Monotone Time Trend in Recurrent Event ProcessesCandemir Cigsar*, Women’s College Reserach Institute Princess Margaret Hospital

4:05 Contrasting Group-specific Cumulative Mean Associated with Marked Recurrent Events in the Presence of a Terminating EventYu Ma* and Douglas E. Schaubel, University of Michigan

4:25 Alternating Event Processes during Lifetimes: Population Dynamics and Statistical Inferencen Russell T. Shinohara* and Mei-Cheng Wang, Johns Hopkins University

4:45 Semiparametric Probit Model for Clustered Interval-Censored Data with Unknown Distribution of Random EffectsHaifeng Wu* and Lianming Wang, University of South Carolina

5:05 A Flexible Copula Model for Bivariate Survival DataZhen Chen*, David Oakes, Ollivier Hyrien and Changyong Feng, University of Rochester Medical Center


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56. CONTRIBUTED PAPERS: Genomics Sponsor: ENAR Chair: Hulin Wu, University of Rochester

3:45 The Practical Effect of Batch on PredictionHilary S. Parker* and Jeffery T. Leek, Johns Hopkins School of Public Health

4:00 Identifying and Correcting Sample Mix-ups in High-Dimensional DataKarl W. Broman*, Mark P. Keller and Aimee T. Broman, University of Wisconsin-Madison; Danielle M. Greenawalt, Merck & Co., Inc.; Christina Kendziorski, University of Wisconsin- Madison; Eric E. Schadt, Pacific Biosciences, Saunak Sen, University of California, San Francisco; Brian S. Yandell and Alan D. Attie, University of Wisconsin-Madison

4:15 Detecting Differential Binding of Transcription Factors with ChIP-seqKun Liang* and Sunduz Keles, University of Wisconsin-Madison

4:30 Applying Whole Genomic Prediction across Populations for Predictive and Prognostic PurposesRobert Makowsky*, Kirk Yancy B. Williams, U.S. Food and Drug Administration and Gustavo de los Campos, University of Alabama at Birmingham

4:45 Segmenting the Human Genome Based on Mutation RatesPrabhani Kuruppumullage Don*, Guruprasad Ananda, Francesca Chiaromonte and Kateryna D. Makova, Pennsylvania State University

5:00 Identifying Protein Binding Sites from Genomic ChIP-seq Data Using Reversible Jump MCMCRasika V. Jayatillake* and Nak-Kyeong Kim, Old Dominion University

5:15 Change-point Analysis of Paired Allele-specific Copy Number Variation DataYinglei Lai*, The George Washington University

57. CONTRIBUTED PAPERS: Health Services/Health Policy Sponsor: ENAR Chair: Yulei He, Harvard Medical School

3:45 Identifying Individual Changes in Performance with Composite Quality Indicators while Accounting for Regression-to-the-MeanByron Gajewski* and Nancy Dunton, University of Kansas

4:00 Alcohol Outlets and Violence in the City of Philadelphia: The Role of Land UseTony H. Grubesic, Loni Philip Tabb and Dominique Williams*, Drexel University and William Pridemore, Indiana University-Bloomington

4:15 Calibrated Sensitivity Analysis for the Instrumental Variables Method for Observational StudiesJesse Yenchih Hsu*, Scott A. Lorch and Dylan S. Small, University of Pennsylvania

4:30 A Research Agenda: Does Geocoding Positional Error Matter in Health GIS Studies?Geoffrey M. Jacquez*, BioMedware

4:45 Methodology for Scoring the EQ-5DEleanor M. Pullenayegum* and Feng Xie, McMaster University

5:00 Estimating 95% Confidence Interval for Percentile Rank – Using Bootstrap – Application: RSMR & RSRRYahya A. Daoud*, Yumi Y. Sembongi, Monica Anand, Dunlei Cheng and Edward B. De Vol, Baylor Heath Care System

5:15 Optimization and Simulation of an Evolving Kidney Paired Donation (KPD) Programn Yijiang J. Li*, Peter X. K. Song, Yan Zhou and Alan B. Leichtman, University of Michigan; Michael A. Rees, University of Toledo Medical Center and John D. Kalbfleisch, University of Michigan

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Tuesday, April 38:30 – 10:15 am

58. Towards Omics-Based Predictors for Patient Management Sponsor: ASA Biometrics Section Organizer: Kevin Dobbin, University of Georgia Chair: Kevin Dobbin, University of Georgia

8:30 Validating Clinical Performance of PredictorsMichael L. LeBlanc*, Fred Hutchinson Cancer Research Center

9:00 A Regulatory Perspective on Omics-Based PredictorsGene A. Pennello*, U.S. Food and Drug Administration

9:30 Statistical Issues in the Design of Clinical Trials to Establish the Utility of Biomarker-based Tests for Guiding Therapy DecisionsLisa M. McShane*, National Cancer Institute, National Institutes of Health

10:00 Discussant: Tracy Lively, National Cancer Institute

59. Functional Data Analysis

Sponsor: IMS Organizer: Hans-Georg Muller, University of California, Davis Chair: Hans-Georg Muller, University of California, Davis

8:30 Methodology and Theory for Partial Least

Squares Applied to Functional DataPeter Hall*, The University of Melbourne and the University of California, Davis and Aurore Delaigle, The University of Melbourne

8:55 Time-Dynamic Functional Additive ModelJane-Ling Wang* and Xiaoke Zhang, University of California at Davis and Byeong Park, Seoul National University

9:20 Continuously Additive Models for Functional RegressionHans-Georg Mueller, University of California at Davis; Yichao Wu*, North Carolina State University and Fang Yao, University of Toronto

9:45 Movelets: A Dictionary of MovementBai Jiawei, Jeffrey Goldsmith and Ciprian M. Crainiceanu*, Johns Hopkins University


60. The Analysis of Social Network Data in Public Health Sponsor: ASA Section on Statistical Learning and Data Mining Organizers: Debashis Ghosh, Penn State University Chair: Yeying Zhu, Penn State University

8:30 Network Based Methods for Accessing

Hard-to-Reach GroupsTyler H. McCormick*, University of Washington and Tian Zheng, Columbia University

9:00 Using Retrospective Sampling to Study Factors Affecting Relationships in Large Longitudinal Social NetworksA James O’Malley* and Sudeshna Paul, Harvard Medical School

9:30 Point Process Modeling for Directed Interaction NetworksPatrick O. Perry*, New York University and Patrick J. Wolfe, Harvard University

10:00 Discussant: Melanie Wall, Columbia University

61. Novel Methodological Issues in Analyzing and Designing Longitudinal Biomarker Studies Sponsor: ASA Biopharmaceutical Section Organizers: Paul Albert and Enrique Schisterman, National Institutes of Health Chair: Enrique Schisterman, National Institutes of Health

8:30 Outcome Dependent Sampling for Longitudinal

Binary Response Data Based on a Time-Varying Auxiliary VariableJonathan S. Schildcrout*, Vanderbilt University; Sunni L. Mumford and Zhen Chen, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health; Patrick J. Heagerty, University of Washington and Paul J. Rathouz, University of Wisconsin

8:55 A Principal Interactions Analysis Framework for Repeated Measures Data on Quantitative Traits: Application to Longitudinal Studies of Gene-Environment InteractionsBhramar Mukherjee* and Yi-An Ko, University of Michigan

9:20 Pooling Designs for Outcomes Under a Gaussian Random Effects ModelYaakov Malinovsky*, University of Maryland, Baltimore County; Paul S. Albert and Enrique F. Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

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9:45 A Bayesian Order Restricted Model for Hormonal Dynamics During Menstrual Cycles of Healthy WomenAnindya Roy*, University of Maryland Baltimore County; Michelle Danaher, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health and University of Maryland Baltimore County; Zhen Chen, Sunni Mumford and Enrique Schiesterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

10:10 Discussant: Paul Albert, National Institutes of Health

62. Advances in Cancer Risk Prediction Models Sponsor: ENAR Organizer: Donna Ankerst, University of Munich Chair: Donna Ankerst, University of Munich

8:30 Model Validation and Updating

Ewout W. Steyerberg*, Erasmus University Medical Center, Rotterdam, the Netherlands

8:55 Dynamic Prediction: Updating Medical Prediction Models in Real Time Using Routinely Collected Clinical Data (Or: Why Can’t Nomograms be More Like Netflix?)Andrew J. Vickers*, Memorial Sloan-Kettering Cancer Center

9:20 Deploying Statistical Prediction ModelsMichael W. Kattan*, Cleveland Clinic

9:45 On Joint Risk PredictionRuth Pfeiffer*, National Cancer Institute, National Institutes of Health


63. Adaptive Design in Vaccine Trials Sponsor: ASA Biometrics Section Organizers: Zhi Wen and Estelle Russek-Cohen, U.S. Food and Drug Administration Chair: Zhi Wen, U.S. Food and Drug Administration

8:30 A 2-Stage Adaptive Design for Assessing

Vaccine Efficacy with Uncertain Incidence RateIvan SF Chan*, Merck Research Laboratories; Xiaoming Li, Gilead Sciences and Keaven M. Anderson, Merck Research Laboratories

9:00 Adaptive Designs for Vaccine Clinical TrialsGhideon Ghebregiorgis*, U.S. Food and Drug Administration

9:30 Determining which Subpopulations Benefit from a Vaccine, Using Adaptive DesignsMichael Rosenblum*, Johns Hopkins Bloomberg School of Public Health


64. TOPIC CONTRIBUTED PAPERS: Mixing: Inferences Using Frequentist and Bayesian Methods and for Mixed Discrete and Continuous Data Sponsor: ENAR Organizer: Gang Zheng, National Heart, Lung, and Blood Institute, National Institutes of Health Chair: Gang Zheng, National Heart, Lung, and Blood Institute, National Institutes of Health

8:30 Flexible Random Effects Copula Models for

Clustered Mixed Outcomes: Application in Developmental ToxicologyAlexander R. de Leon*, University of Calgary

8:50 Joint Analysis of Binary and Quantitative Traits with Data Sharing and Outcome-Dependent SamplingJungnam Joo*, National Cancer Center, Korea

9:10 Bayes Factor Based on a Maximum Statistic for Case-Control Genetic Association StudiesLinglu Wang*, The George Washington University

9:30 Analysis of Case-Control Qualitative and Quantitative Trait Data for Genetic AssociationMinjung Kwak*, National Heart Lung and Blood Institute, National Institutes of Health

9:50 Hybrid Inference for Association StudiesQizhai Li*, Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Jing Qin, National Institute of Allergy and Infectious Diseases, National Institutes of Health and Ao Yuan, Howard University


65. CONTRIBUTED PAPERS: Bayesian Methods for Longitudinal and/or Survival Data Sponsor: ENAR Chair: Madan Gopal Kundu, Indiana University Purdue University, Indianapolis

8:30 Posterior Predictive Model Assessment for Incomplete Longitudinal DataArkendu Chatterjee* and Michael Daniels, University of Florida

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8:45 A Novel Bayesian Approach for Analyzing Interval-Censored Failure Time Data Under the Proportional Hazards ModelXiaoyan Lin, Bo Cai* and Lianming Wang, University of South Carolina and Zhigang Zhang, Memorial Sloan-Kettering Cancer Center

9:00 Semiparametric Bayesian Survival Analysis Using Models with Log-Linear Mediann Jianchang Lin* and Debajyoti Sinha, Florida State University; Stuart Lipsitz, Brigham and Women’s Hospital and Adriano Polpo, University of São Paulo

9:15 A Model-based Approach to Limit of Detection in Studying Environmental Chemical Exposures and Time to PregnancySungduk Kim*, Zhen Chen, Enrique F. Schisterman, Neil Perkins, Rajeshwari Sundaram and Germaine M. Buck Louis, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

9:30 A Semiparametric Bayesian Approach for Joint Modeling of Longitudinal Trait and Event Time: Application to Soybean DataKiranmoy Das*, Temple University

9:45 Hierarchical Bayesian Approach for Analysis of Longitudinal Count Data with Overdispersion Parameters: A Simulation StudyMehreteab F. Aregay*, University of Leuven, Belgium; Geert Molenberghs, I-BioStat Belgium and Ziv Shkedy, Hasselt University, Belgium

10:00 Bayesian Modeling Dependence in Longitudinal Data via Partial Autocorrelations and Marginal Variancesn Yanpin Wang* and Michael Daniels, University of Florida

66. CONTRIBUTED PAPERS: Complex Study Designs and Bias Corrections Sponsor: ENAR Chair: Yvonne Zubovic, Indiana University Purdue University Fort Wayne

8:30 Two-Stage Designs for Adaptive Comparative Effectiveness TrialsJohn A. Kairalla*, University of Florida; Mitchell A. Thomann and Christopher S. Coffey, University of Iowa and Keith E. Muller, University of Florida

8:45 More Efficient Estimators for Case-Cohort StudiesSoYoung Kim* and Jianwen Cai, University of North Carolina at Chapel Hill

9:00 Estimating Multiple Treatments Effects Using Two-Phase Regression EstimatorsCindy Yu, Iowa State University; Jason Legg, Amgen Inc. and Bin Liu*, Iowa State University

9:15 A Semi-parametric Approach to Select Optimal Sampling Schedules for Measuring the Mean Profile and Variability in Longitudinal StudiesMeihua Wu* and Brisa N. Sánchez, Trivellore E. Raghunathan and Ana V. Diez-Roux, University of Michigan

9:30 An Improved Paired Availability Design for Historical ControlsStuart G. Baker*, National Cancer Institute, National Institutes of Health and Karen S. Lindeman, Johns Hopkins University

9:45 Bias Correction and Likelihood Based Inference Under Model Misspecificationn Yang Ning*, Johns Hopkins University and Kung-Yee Liang, National Yang-Ming University


67. CONTRIBUTED PAPERS: High Dimensional Data Sponsor: ENAR Chair: Eileen Liao, University of California at Los Angeles

8:30 Sparse Meta-Analysis With Applications to High-Dimensional Datan Qianchuan He*, University of North Carolina at Chapel Hill; Helen Hao Zhang, North Carolina State University; Danyu Lin and Christy L. Avery, University of North Carolina at Chapel Hill

8:50 Universal Probabilistic Dependency Discovery: Theory and ApplicationHesen Peng*, Emory University; Yun Bai, Philadelphia College of Osteopathic Medicine and Tianwei Yu, Emory University

9:10 Investigating Pyrosequence Data from Ecological ApplicationsKaren Keating*, Gary L. Gadbury, Ari Jumpponen and Karen A. Garrett, Kansas State University

9:30 Exploration of Reactant-Product Lipid Pairs in Mutant-Wild Type Lipidomics ExperimentsLianqing Zheng* and Gary L. Gadbury, Kansas State University; Jyoti Shah, University of North Texas and Ruth Welti, Kansas State University

9:50 Factor Analysis Regression for Predictive Modeling with High Dimensional DataNetsanet T. Imam*, Randy L. Carter and Russell W. Bessette, State University of New York at Buffalo


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68. CONTRIBUTED PAPERS: High Dimensional Data: Machine Learning, Multivariate Methods and Computational Methods Sponsor: ENAR Chair: Frank B Yoon, Mathematica Policy Research, Inc.

8:30 Majorization Minimization by Coordinate Descent for Concave Penalized Generalized Linear ModelsDingfeng Jiang* and Jian Huang, University of Iowa

8:45 Reducing Dimension to Improve Computational Efficiency in High Dimensional StudiesKevin K. Dobbin*, University of Georgia

9:00 Additive Kernel Machine Regression Based Analysis of Genomic DataJennifer Clark* and Mike Wu, University of North Carolina at Chapel Hill

9:15 Variable Selection for High-Dimensional Multivariate Outcomes with Application to Genetic Pathway/Network Analysisn Tamar Sofer*, Harvard School of Public Health; Lee Dicker, Rutgers University and Xihong Lin, Harvard School of Public Health

9:30 Enhancements of Sparse Clustering with Resamplingn Wenzhu Bi*, George C. Tseng, Julie C. Price and Lisa A. Weissfeld, University of Pittsburgh

9:45 Generalized Reduced Rank Regression for Multivariate ResponseZakaria S. Khondker*, University of North Carolina at Chapel Hill and PAREXEL International; Hongtu Zhu and Joseph G. Ibrahim, University of North Carolina at Chapel Hill


69. CONTRIBUTED PAPERS: Variable and Model Selection Methods Sponsor: ENAR Chair: Yang Feng, Columbia University

8:30 Simultaneous Rank Determination and Variable Selection in Multivariate Reduced-rank RegressionKun Chen*, Kansas State University and Kung-Sik Chan, University of Iowa

8:45 Variable Selection for Fixed and Random Effects in Multilevel Models When Missing Data is PresentMiguel Marino*, Harvard University and Yi Li, University of Michigan

9:00 Variable Selection in Parametric and Non-Parametric RegressionTrang T. Duong*, The University of West Georgia

9:15 Penalized Variable Selection with U-estimatesXiao Song*, University of Georgia and Shuangge Ma, Yale University School of Public Health

9:30 Variable Selection with Iterated Penalization for Semiparametric Regression ModelsYing Dai* and Shuangge Ma, Yale University School of Public Health

9:45 Sparsity Recovery from Multivariate Smoothing Functions Using the Nonnegative Garrote MethodZaili Fang*, Inyoung Kim and Patrick Schaumont, Virginia Polytechnic Institute and State University


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Tuesday, April 3 (continued)

10:15 – 10:30 am | Break Grand Ballroom Pre-function Area

10:15 am – 12:15 pm

70. Presidential Invited Address Ballroom Sponsor: ENAR Organizer/Chair: Karen Bandeen-Roche, Johns Hopkins Bloomberg School of Public Health

10:30 Introduction

10:35 Distinguished Student Paper Awards

10:45 Engaging, Inspiring, and Training the Next Generation: Past Successes, Future Challenges and OpportunitiesMarie Davidian, Department of Statistics, North Carolina State University

1:45 – 3:30 pm

71. Recent Advances in Statistical Methods for Diagnostic Medicine Sponsor: ENAR Organizer: Haitao Chu, University of Minnesota Chair: Joseph Koopmeiers, University of Minnesota

1:45 Semiparametric Estimation of the Covariate-

Specific ROC Curve in Presence of Ignorable and Non-Ignorable Verification BiasXiao-Hua Andrew Zhou* and Danping Liu, University of Washington

2:15 Estimation and Design for Logistic Regression Under an Imperfect Population IdentifierPaul S. Albert*, Aiyi Liu and Tonia Nansel, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

2:45 Designing Studies to Evaluate Biomarkers for Selecting Patient TreatmentHolly Janes*, Margaret Pepe, Ying Huang and Marshall Brown, Fred Hutchinson Cancer Research Center


72. JABES Special Session on Climate Change and Health Sponsor: ENAR Organizer: Montserrat Fuentes, North Carolina State University Chair: Bo Li, Purdue University

1:45 Estimating the Health Impact of Climate Change

with Calibrate Climate Model OutputMontse Fuentes, North Carolina State University

2:10 Flexible Distributed Lag Models using Random Functions with Application to Estimating Mortality Displacement from Heat-Related DeathsRoger Peng, Johns Hopkins University

2:35 A Compartmental Model for Meningitis: Separating Transmission from Climate Effects on DiseaseRoman Jandarov, Penn State University

3:00 Bivariate Downscaling with Asynchronoous MeasurementsYunwen Yang*, Drexel University and Xuming He, University of Michigan


73. Grant Funding Opportunities for Biostatisticians Sponsor: ASA Section for Teaching in the Health Sciences Organizer: Michelle Dunn, National Cancer Institute, National Institutes of Health Chair: Angela Marriotto, National Cancer Institute

1:45 New Opportunities for Research Funding at NSF

Haiyan Cai*, National Science Foundation

2:10 Overview of NIH Application ProcessesMichelle C. Dunn*, National Cancer Institute, National Institutes of Health

2:35 Peer Review at the National Institutes of HealthTomas Drgon*, Center for Scientific Review, National Institutes of Health

3:00 NIH Statistical Methodological Grant Application and ReviewXihong Lin*, Harvard School of Public Health


74. Causal Mediation Analysis: Definitions, Identification, Inference and Controversies Sponsor: ASA Biometrics Section Organizer: Eric Tchetgen Tchetgen, Harvard School of Public Health Chair: Ilya Shipster, Harvard School of Public Health

1:45 Alternative Graphical Causal Models and the

Identification of Direct EffectsThomas Richardson*, University of Washington and James Robins, Harvard School of Public Health

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2:10 Why is Mediation Analysis Not Easy?Vanessa Didelez*, University of Bristol, UK

2:35 Causal Mediation Analysis for Dichotomous and Time-to-event OutcomesTyler VanderWeele*, Harvard School of Public Health

3:00 Semiparametric Theory for Causal Mediation Analysis: Robustness, Efficiency and SensitivityEric J. Tchetgen Tchetgen* and Ilya Shpitser, Harvard University


75. Advances in Brain Imaging and Signal Biomarkers For Behavior Sponsor: IMS Organizer: Hernando Ombao, University of California at Irvine Chair: Dipak Dey, University of Connecticut

1:45 How Restful is Resting State fMRI? —

A Population Functional Change-Point Analysis InvestigationJohn A.D. Aston*, University of Warwick and Claudia Kirch, Karlsruhe Institute of Technology

2:10 Predicting Disease Status Using a Novel Support Vector Classifier for Longitudinal Neuroimaging DataDuBois Bowman* and Shuo Chen, Emory University

2:35 Developing fMRI-based Biomarkers for PainMartin A. Lindquist*, Columbia University

3:00 Novel Measures of Dependence in Time Series as BiomarkersHernando Ombao* and Mark Fiecas, Brown University and Cristina Gorrostieta, University of California at Irvine


76. Recent Development in Imputation Methods and Their Applications Sponsor: ASA Biometrics Section Organizer: Qixuan Chen, Columbia University Chair: Sijian Wang, University of Wisconsin

1:45 A Multiple Imputation Approach to Misreporting

and Mismeasurement from Multiple SourcesYulei He*, Mary Beth Landrum and Alan Zaslavsky, Harvard Medical School

2:10 Doubly Robust Nonparametric Multiple Imputation for Ignorable Missing DataQi Long*, Emory University; Chiu-Hsieh Hsu, University of Arizona and Yisheng Li, University of Texas MD Anderson Cancer Center

2:35 Why are There Multiple Hypothesis Testing Combining Rules for Multiply Imputed Data Sets?Xiao-Li Meng*, Harvard University and Xianchao Xie, Two Sigma Investments, LLC

3:00 Imputing Modes for Missing Data Based on the Laplace Approximation to the Marginal LikelihoodMyunghee Cho Paik*, Columbia University


77. TOPIC CONTRIBUTED PAPERS: Joint Modeling and Its Applications Sponsor: ENAR Organizer: Yangxin Huang, University of South Florida Chair: Yangxin Huang, University of South Florida

1:45 An Estimation Method of Marginal

Treatment Effects on Correlated Longitudinal and Survival OutcomesQing Pan, George Washington University and Grace Y. Yi*, University of Waterloo

2:00 A Semiparametric Marginalized Model for Longitudinal Data with Informative DropoutMengling Liu*, New York University School of Medicine and Wenbin Lu, North Carolina State University

2:15 Bayesian Semiparametric Nonlinear Mixed-Effects Joint Models for Data with Skewness, Missing Responses and Measurement Errors in CovariatesYangxin Huang* and Getachew A. Dagne, University of South Florida

2:30 Bayesian Hybrid Inference for Longitudinal and Survival Joint ModelsGang Han*, Moffitt Cancer Center & Research Institute; Yangxin Huang, University of South Florida and Catherine Phelan, Moffitt Cancer Center & Research Institute

2:45 Joint Spatial Modeling of Recurrent Infection and Growth in Forest EcologyFarouk S. Nathoo*, University of Victoria

3:00 Bayesian Joint Model of Multivariate Ordinal Data with Competing Risks Survival TimeSatrajit Roychoudhury*, Novartis Pharmaceuticals Corporation

3:15 A Joint Latent Class Model of Survival and Longitudinal DataYue Liu*, Lei Liu and Jianhui Zhou, University of Virginia

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78. CONTRIBUTED PAPERS: Bayesian Methods I Sponsor: ENAR Chair: Jung-Ying Tzeng, North Carolina State University

1:45 Bayesian Kappa Regression

Elande Baro*, University of Maryland Baltimore County; Zhen Chen, Sung Duk Kim and Bo Zhang, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

2:00 Sparse Data in Safety Data AnalysesXiaowen Hu*, Southern Methodist University; Luyan Dai and Tom Tang, Boehringer Ingelheim Pharmaceutivals

2:15 Minkowski-Weyl Priors for Models with Parameter Constraints: An Analysis of the BioCycle Studyn Michelle R. Danaher*, University of Maryland, Baltimore County and Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health; Anindya Roy, University of Maryland Baltimore County; Zhen Chen, Sunni L. Mumford and Enrique F. Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

2:30 A Predictive Bayesian Approach to the Design and Analysis of Bridging StudiesA. Lawrence Gould*, Jin Tian, Li Xin Zhang and William W. B. Wang, Merck Research Laboratories

2:45 Bayesian Semiparametric Regression for Evaluating Pathway Effects on Zero Inflated Clinical OutcomesLulu Cheng* and Inyoung Kim, Virginia Tech

3:00 Bayesian Sampling-Based Methods for Inverse Prediction from Longitudinal CD4 Profile DataMiranda L. Lynch* and Victor DeGruttola, Harvard School of Public Health

3:15 Robust Bayesian Inference for Longitudinal Multivariate Data with Normal/Independent DistributionsSheng Luo* and Junsheng Ma, University of Texas at Houston; Karl D. Kieburtz, University of Rochester Medical Center and Barbara C. Tilley, University of Texas at Houston

79. CONTRIBUTED PAPERS: Correlated / Longitudinal Data Sponsor: ENAR Chair: Hongjie Zhu, Duke University

1:45 A Semiparametric Latent Variable Transformation Approach for Modeling Multiple Outcomes of Mixed TypesAnna Snavely*, Harvard University and Yi Li, Harvard University and University of Michigan

2:00 Analysis of Asynchronous Longitudinal ObservationsHongyuan Cao*, University of Chicago; Donglin Zeng and Jason P. Fine, University of North Carolina at Chapel Hill

2:15 Hierarchical Multiple Informant ModelsJonggyu Baek* and Brisa N. Sanchez, University of Michigan and Emma V. Sanchez-Vaznaugh, San Francisco State University

2:30 Measures of Discrimination for Latent Group-Based Trajectory ModelsNilesh Shah* and Chung-Chou Chang, University of Pittsburgh

2:45 Challenges in Estimation of Genetic Effects from Family-based Case-Control DataRoula Tsonaka* and Jeanine J. Houwing-Duistermaat, Leiden University Medical Center

3:00 The Analysis of Correlated Non-Gaussian Outcomes from Clusters of Size Two: Non-Multilevel-Based Alternatives?Tom Loeys*, Ghent University and Geert Molenberghs, University of Leuven

3:15 Conditional Inference Functions for Mixed-Effects Models with Unspecified Random-Effects DistributionPeng Wang*, Bowling Green State University; Guai-feng Tsai, U.S. Food and Drug Administration and Annie Qu, University of Illinois at Urbana-Champaign

80. CONTRIBUTED PAPERS: Imaging Sponsor: ENAR Chair: James O’Malley, Harvard Medical School

1:45 A Bayesian Hierarchical Framework for Modeling Brain Connectivity of Neuroimaging DataShuo Chen*, F. DuBois Bowman and Lijun Zhang, Emory University

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2:00 Simple Modifications of a t-test for Improved Power with FDR Control in fMRIShuzhen Li, Medtronic, Inc.; Lynn E. Eberly*, University of Minnesota and Brian S. Caffo, Johns Hopkins University

2:15 Adaptive Thresholding for fMRI DataJoke Durnez* and Beatrijs Moerkerke, Ghent University, Belgium

2:30 Application of Cluster Analysis in Dementia ResearchJay Mandrekar*, Mayo Clinic

2:45 Three-dimensional Recognition of Stem Cells Using an Entropy Based Nonparametric Hypothesis Testing ApproachRan Liu* and Dipak K. Dey, University of Connecticut

3:00 A Bayesian Approach to Determining Functional Connectivity in the Human Brain with Incorporation of Structural ConnectivityWenqiong Xue* and F. DuBois Bowman, Emory University


81. CONTRIBUTED PAPERS: Longitudinal and Time Series Data Analysis Sponsor: ENAR Chair: Raymond Hoffman, Medical College of Wisconsin

1:45 State-Space Time Series Clustering Using Discrepancies Based on the Kullback-Leibler Information and the Mahalanobis DistanceEric D. Foster* and Joseph E. Cavanaugh, University of Iowa

2:00 Developmental Trajectories of Marijuana Use from Adolescence to Adulthood: Personality and Social Role OutcomesJudith S. Brook, Jung Yeon Lee* and Elaine N. Brown, NYU School of Medicine; Stephen J. Finch, State University of NewYork, Stony Brook and David W. Brook, New York University School of Medicine

2:15 Modeling the Evolution of Neurophysiological SignalsMark Joseph A. Fiecas* and Hernando Ombao, Brown University

2:30 Markov Regression Models for Count Time Series with Excess Zeros: A Partial Likelihood ApproachMing Yang*, Gideon Zamba and Joseph Cavanaugh, University of Iowa

2:45 Semiparametric Approach to a Non-linear Random Effects Quantile Regression ModelMi-Ok Kim* and Rhonda Vandyke, Cincinnati Children’s Hospital Medical Center

3:00 Building a New Control Chart for BiosurveillanceYiying Fan*, Cleveland State University

3:15 Robust Estimation of Mixed Effects Model for Finite Normal MixturesTingting Zhan*, Temple University; Inna Chervoneva, Thomas Jefferson University and Boris Iglewicz, Temple University

82. CONTRIBUTED PAPERS: Survival Analysis and Risk Prediction Sponsor: ENAR Chair: Hilary Parker, Johns Hopkins School of Public Health

1:45 Partly Conditional Estimation of the Effect of a Time-Dependent Factor in the Presence of Dependent Censoringn Qi Gong* and Douglas E. Schaubel, University of Michigan

2:00 Regression Analysis of Clustered Interval-Censored Failure Time Data with the Additive Hazards ModelJunlong Li*, University of Missouri; Chunjie Wang, Mathematics School and Institute of Jilin University and Jianguo Sun, University of Missouri

2:15 Landmark Risk Prediction of Residual Life for Breast Cancer SurvivalLayla Parast* and Tianxi Cai, Harvard University

2:30 Estimating Restricted Mean Job Tenures for Compensatory Damages in Promotion Discrimination Cases: Application to Alexander vs. MilwaukeeQing Pan* and Joseph Gastwirth, George Washington University

2:45 Statistical Methods of Time-Conditional SurvivalVictoria Gamerman* and Phyllis A. Gimotty, University of Pennsylvania

3:00 100 Years On: A New Look at Survivorship on the TitanicStephen D. Walter*, Hedy Jiang, McMaster University and Corinne A. Riddell, McGill University

3:15 Adjusted Survival Analysis with Inverse Probability Weights in Community-based Primary Care PracticesZugui Zhang*, Edward Ewen and Paul Kolm, Christiana Care Health System

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Tuesday, April 3 (continued)

3:30 – 3:45 pm | Break Grand Ballroom Pre-function Area

3:45 – 5:30 pm

83. Statistical Methods and Applications in Rare Variant Sequencing Studies Sponsor: ENAR Organizers: Xihong Lin, Harvard School of Public Health and Michael Wu, University of North Carolina at Chapel Hill Chair: Xihong Lin, Harvard School of Public Health

3:45 Joint Moment Test for Rare Variants

Daniel J. Schaid*, Mayo Clinic

4:10 A Novel Permutation Strategy to Correct for Confounders in Case-Control Studies of Rare VariationMichael P. Epstein*, Richard Duncan, Yunxuan Jiang and Karen N. Conneely, Emory University; Andrew S. Allen, Duke University and Glen A. Satten, Centers for Disease Control and Prevention

4:35 Investigating the Impact of the Rare Spectrum of Variation on Drug Repositioning and Drug ResponseMatthew R. Nelson*, GlaxoSmithKline

5:00 Kernel Machine Based Testing of Rare Variant by Environment InteractionsMichael C. Wu*, University of North Carolina at Chapel Hill


84. Causal Inference Methods for HIV Research Sponsor: ASA Biometrics Section Organizer: Miguel Hernan, Harvard School of Public Health Chair: Miguel Hernan, Harvard School of Public Health

3:45 Practical Applications of Principal Stratification

in HIV ResearchBryan E. Shepherd*, Vanderbilt University

4:15 Estimation of Joint Effects of Multiple Time-Varying Exposures in Infectious Disease ResearchStephen R. Cole*, University of North Carolina at Chapel-Hill and Chanelle J. Howe, Brown University

4:45 Mediation Analysis for Observational Event Time DataJing Zhang and Joseph W. Hogan*, Brown University; Catherine Gichunge, Edwin Sang and Abraham Siika, Moi University

5:15 Discussant: James Robbins, Harvard University

85. Modern Statistical Machine Learning for Complex and High Dimensional Data Sponsor: ASA Section on Statistical Learning and Data Mining Organizer: Yufeng Liu, University of North Carolina at Chapel Hill Chair: Yufeng Liu, University of North Carolina at Chapel Hill

3:45 High-Dimensional Pharmacoepidemiology

David Madigan*, Columbia University

4:10 HDLSS Discrimination with Adaptive Data PilingMyung Hee Lee, Colorado State University; Jeongyoun Ahn*, University of Georgia and Yongho Jeon, Yonsei University

4:35 Likelihood Adaptive Modified Penalty and Its PropertiesTengfei Li, Fudan University, Yang Feng* and Zhiliang Ying, Columbia University

5:00 Regularized Multiple-Index Model for Group Variable SelectionSijian Wang*, University of Wisconsin, Madison


86. Statistical Challenges in Reproductive and Environmental Epidemiology Sponsor: ASA Section on Statistics and the Environment Organizer: Raji Sundaram, National Institute of Child Health and Development, National Institutes of Health Chair: Raji Sundaram, National Institute of Child Health

and Development, National Institutes of Health 3:45 Conceptual & Methodologic Challenges

Underlying the Assessment of Environmental Reproductive and Developmental Toxicants: An OverviewGermaine M. Louis*, National Institute of Child Health and Development, National Institutes of Health

4:10 Modeling Time-To-Pregnancy in Terms of Variability of Menstrual LengthAmita Manatunga*, Emory University; Huichao Chen, Harvard University; Limin Peng and Michele Marcus, Emory University

4:35 Analysis of In-Vitro Fertilization Data with Multiple Outcomes Using Discrete Time to Event AnalysisArnab Maity*, North Carolina State University; Paige Williams, Harvard School of Public Health; Louise Ryan, Commonwealth Scientific and Industrial Research Organisation; Stacey Missmer, Brent Coull and Russ Hauser, Harvard School of Public Health

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5:00 Bayesian Borrowing of Information Across High-Dimensional Exposures and OutcomesAmy H. Herring*, University of North Carolina at Chapel Hill; David B. Dunson, Duke University and Andrew F. Olshan, University of North Carolina at Chapel Hill


87. Combining Population Data from Multiple Sources Sponsor: ASA Survey Research and Methodology Section Organizer: Michael Elliott, University of Michigan Chair: Trivellore Raghunathan, University of Michigan

3:45 Combining Information from Multiple

Complex SurveysQi Dong*, Trivellore Raghunathan and Michael Elliott, University of Michigan

4:10 Estimating Effectiveness of Health Care Combing Information from Different SurveysTrivellore Raghunathan and Irina Bondarenko*, University of Michigan

4:35 Longitudinal Analysis of Linked Data: A Case StudyGuangyu Zhang*, Jennifer Parker and Nathaniel Schenker, National Center for Health Statistics

5:00 Combining Data from Probability and Non-probability SurveysMichael R. Elliott*, Alexa Resler, Carol Flannagan and Jonathan Rupp, University of Michigan


88. Spatial Uncertainty in Public Health Problems Sponsor: ASA Section on Statistics and the Environment Organizer: Li Zhu, National Cancer Institute, National Institutes of Health Chair: Li Zhu, National Cancer Institute, National Institutes of Health

3:45 CSpatial Uncertainty in Health Data: Does It

Matter and Why Should I Worry About It?Geoffrey Jacquez*, Biomedware

4:10 Relating Public Health to Environmental Factors: Quantifying Uncertainty when Exposure is PredictedLinda J. Young* and Kenneth K. Lopiano, University of Florida and Carol A. Gotway, U.S. Centers for Disease Control and Prevention

4:35 Spatial Uncertainty and Spatial Measures of PerformanceLance Waller*, Emory University

5:00 Visualizing Statistics and Uncertainty Patterns with MicromapsDaniel B. Carr*, George Mason University and Linda W. Pickle, StatNet Consulting LLC


89. TOPIC CONTRIBUTED PAPERS: New Statistical Tools for High Dimensional Problems Sponsor ENAR Organizer: Yichao Wu, North Carolina State University Chair: Yichao Wu, North Carolina State University

3:45 Discovering Graphical Granger Causality

in Sparse High-dimensional Networks with Inherent Grouping StructureGeorge Michailidis* and Sumanta Basu, University of Michigan and Ali Shojaie, University of Washington

4:05 Quantile Regression in Ultra-high DimensionLan Wang*, University of Minnesota; Yichao Wu, North Carolina State University and Runze Li, The Pennsylvania State University

4:25 Statistical Tools for Identifying and Predicting Multiple PathwaysJoseph S. Verducci*, Samuel Handelman and Steven Bamattre, The Ohio State University

4:45 Selecting the Number of Principal Components in Functional DataYehua Li*, University of Georgia; Naisyin Wang, University of Michigan and Raymond J. Carroll, Texas A&M University

5:05 Robust Estimation of Large Gaussian Graphical ModelPeng Tang, Georgia Institute of Technology; Huijing Jiang, IBM T.J. Watson Research Center and Xiwnei Deng*, Virginia Tech


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90. CONTRIBUTED PAPERS: Bayesian Methods II Sponsor: ENAR Chair: Donna McClish, Virginia Commonwealth University

3:45 A Bayesian Approach for Rank AggregationKe Deng* and Xuxin Liu, Harvard University; Jiong Du, Peking University and Jun S. Li, Harvard University

4:00 Bayesian Inference for Case-Control Studies with Multiple Non-Gold Standard Exposure Assessments: With an Application in Occupational HealthJing Zhang*, University of Minnesota

4:15 A Nonparametric Bayesian Model for Local ClusteringJuhee Lee*, University of Texas MD Anderson Cancer Center; Peter Mueller, University of Texas at Austin and Yuan Ji, University of Texas MD Anderson Cancer Center

4:30 A Bayesian Characterization for a Weighted Sum of Environmental ChemicalsStephanie M. Pearson* and Roy T. Sabo, Virginia Commonwealth University

4:45 Estimating Reproductive Inhibition Potency in Aquatic Toxicity Testing When Excess Zeros ObservedJing Zhang*, A. John Bailer and James T. Oris, Miami University

5:00 Bayesian Armitage-Doll Multistage Carcinogenesis Model in Estimating Cancer MortalityZhiheng Xu* and Vicki Hertzberg, Emory University


91. CONTRIBUTED PAPERS: Diagnostic and Screening Tests Sponsor: ENAR Chair: Patrick Perry, New York University

3:45 Discrete Survival Analysis with Misclassified EventsAbidemi Adeniji*, University of Pittsburgh

4:00 A New Approach to Adjust for Verification Bias in Assessment of Binary Diagnostic TestsQingxia Chen*, Vanderbilt University

4:15 Diagnostic Tests Based on Multiple Cutpoints for Not Proper ROC CurvesPeter R. Dawson* and Phyllis A. Gimotty, University of Pennsylvania

4:30 Estimation of the Volume Under the ROC Surface with Three Ordinal Diagnostic Categories Using Kernel SmoothingLe Kang* and Lili Tian, University at Buffalo

4:45 A Simple Bayesian Inference of Odds Ratiosin Misclassified Binary Data with a Validation StudyMeijuan Li*, U.S. Food and Drug Administration

5:00 Soft ROC CurvesYixin Fang, New York University; Narayanaswamy Balakrishnan, McMaster University and Xin Huang*, Fred Hutchinson Cancer Research Center

5:15 Evaluating Incomplete Multiple Imperfect Diagnostic Tests with a Probit Latent Class ModelYi Zhang*, University of North Carolina at Chapel Hill; Haitao Chu, University of Minnesota and Donglin Zeng, University of North Carolina at Chapel Hill

92. CONTRIBUTED PAPERS: Meta-Analysis Sponsor: ENAR Chair: Brian Neelon, Duke University

3:45 Meta-Analysis of Binary Rare Adverse EventDulal K. Bhaumik, University of Illinois at Chicago; Anup K. Amatya*, New Mexico State University; Sharon-Lise Normand, Harvard University; Joel Greenhouse, Carnegie Mellon University; Eloise Kaizar, The Ohio State University; Brian Neelon, Duke University and Robert Gibbons, University of Chicago

4:00 Regulatory Network Analysis by Meta-Analysis of Multiple Transcriptomic Studies in Major Depressive DisorderYing Ding*, Etienne Sibille and George Tseng, University of Pittsburgh

4:15 Meta-Analysis Framework for the Dimension Reduction of Genomic DataDongwan D. Kang* and George C. Tseng, University of Pittsburgh

4:30 Meta-Analysis of Observational Studies with Unmeasured ConfoundersLawrence C. McCandless*, Simon Fraser University, Canada

4:45 Comprehensive Comparative Study of Microarray Meta-Analysis MethodsLun-Ching Chang*, Hui-Min Lin and George C. Tseng, University of Pittsburgh

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5:00 Imputation of Truncated p-values for Meta-Analysis Methods and Its Genomicn Shaowu Tang* and George C. Tseng, University of Pittsburgh

5:15 Merging Clustered or Longitudinal Cohort Data with Cohort-specific Missing CovariatesFei Wang*, Lu Wang and Peter X.-K. Song, University of Michigan

93. CONTRIBUTED PAPERS: Missing Data I Sponsor: ENAR Chair: Zhi (Kevin) He, University of Michigan

3:45 A Multiple Imputation Based Approach to Sensitivity Analyses and Effectiveness Assessments in Longitudinal Clinical TrialsTeshome Birhanu*, I-BioStat, Universiteit Hasselt, Belgium; Ilya Lipkovich, Eli Lilly & Company; Geert Molenberghs, I-BioStat, Universiteit Hasselt, Belgium and I-BioStat, Katholieke Universiteit Leuven, Belgium and Craig H. Mallinckrodt, Eli Lilly & Company

4:00 Estimation of Rate of Change in Longitudinal Studies with Varying Degrees of Missingness and Informative Dropout: A Simulation StudyJamie E. Collins*, Boston University; Robin Bliss and Elena Losina, Brigham and Women’s Hospital

4:15 On Cluster Size, Ignorability, Ancillarity, Completeness, Separability, and Degeneracy: Sequential Trials, Random Sample Sizes, and Missing DataGeert Molenberghs*, I-BioStat, Universiteit Hasselt & Katholieke Universiteit Leuven, Belgium; Michael G. Kenward, London School of Hygiene and Tropical Medicine; Marc Aerts, I-BioStat, Universiteit Hasselt, Belgium; Geert Verbeke, I-BioStat, Katholieke Universiteit Leuven & Universiteit Hasselt, Belgium; Anastasios A. Tsiatis and Marie Davidian, North Carolina State University and Dimitris Rizopoulos, Erasmus University Rotterdam

4:30 Diagnostic Plots for Evaluation of Bias in Missing Data from Clinical TrialsGerry W. Gray*, U.S. Food and Drug Administration

4:45 Time-to-event Analysis with Partial Adjudication of Potential Events Using Fractional ImputationJason C. Legg*, Amgen Inc. and Jae Kwang Kim, Iowa State University

5:00 Multiple Imputation for Generalized Linear Models with Censored CovariatesPaul W. Bernhardt*, Huixia Wang and Daowen Zhang, North Carolina State University

5:15 Multiple Imputation for Measurement Error with Internal and External Calibration SamplesRoderick J. Little*, University of Michigan

94. CONTRIBUTED PAPERS: Semiparametric and Nonparametric Methods for Survival Analysis Sponsor: ENAR Chair: Lily Wang, University of Georgia

3:45 A Family of Weighted Generalized Inverse Weibull DistributionBroderick O. Oluyede*, Georgia Southern University and Jing Kersey, East Georgia College

4:00 Stratified and Unstratified Log-Rank Tests in Survival AnalysisChangyong Feng*, David Oakes and Yao Yu, University of Rochester Medical Center

4:15 Nonparametric Estimation of the Mean Function for Recurrent Events Data with Missing Event CategoryFeng-Chang Lin*, Jianwei Cai and Jason P. Fine, University of North Carolina at Chapel Hill and HuiChuan J. Lai, University of Wisconsin-Madison

4:30 Median Tests for Censored Survival Data: Contingency Table ApproachShaowu Tang and Jong-Hyeon Jeong*, University of Pittsburgh

4:45 Pointwise Confidence Intervals for a Survival Distribution for Right Censored Data with Small Samples or Heavy CensoringMichael P. Fay*, Erica Brittain and Michael A. Proschan, National Institute of Allergy and Infectious Diseases, National Institutes of Health

5:00 Further Thoughts on the Proportional Mean Residual Life ModelDavid Oakes*, University of Rochester Medical Center

5:15 Frailty Models with Covariates Subject to Limit of DetectionAbdus Sattar*, Case Western Reserve University; Liang Li, Cleveland Clinic Foundation and Pingfu Fu, Case Western Reserve University

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Wednesday, April 48:30 – 10:15 am

95. New Statistical Challenges in Functional Data Analysis Sponsor: ASA Biometrics Section Organizer: Ana-Maria Staicu, North Carolina State University Chair: Michele Guindani, University of Texas MD Anderson Cancer Center

8:30 Bayesian Variable Selection for Identifying Genetic Effects on Functional ConnectivityBrian J. Reich*, North Carolina State University; Michele Guindani, University of Texas MD Anderson Cancer Center; Abel Rodriguez, University of California at Santa Cruz and Vince Calhoun, University of New Mexico

8:55 Regression Models for Spatially Correlated Multilevel Functional DataAna-Maria Staicu*, North Carolina State University; Damla Sentürk, University of California at Los Angeles and Raymond J. Carroll, Texas A&M University

9:20 Varying Coefficient Models for Sparse Noise-Contaminated Longitudinal DataDamla Senturk*, University of California, Los Angeles and Danh Nguyen, University of California, Davis

9:45 Longitudinal High Dimensional Data AnalysisVadim Zipunnikov*, Johns Hopkins University; Sonja Greven, Ludwig-Maximilians-University; Brian Caffo, Johns Hopkins University; Daniel S. Reich, Johns Hopkins University and National Institute of Neurological Disorders and Stroke, National Institutes of Health and Ciprian M. Crainiceanu, Johns Hopkins University


96. Estimation of Covariance Matrices with Applications to Longitudinal Data and Graphical Models Sponsor: IMS Organizer: Michael Daniels, University of Florida Chair: Dhiman Bhadra, Worcester Polytechnic Institute

8:30 Estimating Large Correlation Matrices by

Banding the Partial Autocorrelation MatrixYanpin Wang and Michael Daniels*, University of Florida

9:00 Antedependence Models for Normal and Categorical Longitudinal DataDale L. Zimmerman*, University of Iowa

9:30 Doubly Regularized Estimation and Selection in Linear Mixed-Effects Models for High-Dimensional Longitudinal DataYun Li, University of Michigan; Sijian Wang, University of Wisconsin; Peter X.K. Song, Naisyin Wang and Ji Zhu*, University of Michigan


97. Analyses of Incomplete Longitudinal Data – How Robust are the Results? Sponsor: ASA Biometrics Section Organizer: Donna Kowalski, Astellas Pharma Global Development, Inc Chair: Donna Kowalski, Astellas Pharma Global Development, Inc

8:30 Bayesian Influence Measures for Joint Models for Longitudinal and Survival DataJoseph G. Ibrahim* and Hongtu Zhu, University of North Carolina at Chapel Hill and Niansheng Tang, Yunnan University, China

9:00 Robust Analyses of Randomized Clinical Trials with Incomplete Longitudinal DataDevan V. Mehrotra*, Merck Research Laboratories

9:30 On the Usefulness of Sensitivity AnalysesJames M. Robins*, Harvard School of Public Health

10:00 Floor Discussion 98. Statistics in Mental Health Research:

A Prelude to a Proposed New ASA Section Sponsor: ENAR Organizers: Naihua Duan, Columbia University and Robert Gibbons, University of Chicago Chair: Naihua Duan, Columbia University

8:30 Evolution of Psychopharmacology Trial Design

and Analysis: Six Decades in the MakingAndrew C. Leon*, Weill Cornell Medical College

8:55 Modeling Between- and Within-Subject Mood Variance in Ecological Momentary Assessment (EMA) Data using Mixed-Effects Location-Scale ModelsDonald Hedeker*, Robin J. Mermelstein and Hakan Demirtas, University of Illinois at Chicago

9:20 Are Antidepressants Effective and Do They Cause Suicidal Thoughts and Behavior? Methodology and Findings for Synthesizing Findings Across Multiple Randomized Antidepressant TrialsHendricks Brown*, University of Miami; Robert D. Gibbons, University of Chicago; Kwan Hur, University of Chicago and Hines VA Hospital Center for Medication Safety; John J. Mann, Columbia University and Bengt O. Muthen, University of California at Los Angeles

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9:45 The Future of Mental Health MeasurementRobert D. Gibbons*, University of Chicago


99. High-Impact Statistical Methods and the Fight Against HIV in the Developing World Sponsor: ENAR Organizer: Joseph Hogan, Brown University Chair: Joseph Hogan, Brown University

8:30 Using Auxiliary Biomarkers to Improve Pooling

Strategies for HIV Viral Load TestingTao Liu*, Joseph W. Hogan, Shangxuan Zhang and Rami Kantor, Brown University

8:55 The Role of Network Analyses in Research on Prevention of HIV InfectionRavi Goyal, Joseph Blitzstein and Victor DeGruttola*, Harvard University

9:20 Estimation from Double-Sampled Semi-Competing Risk DataConstantin T. Yiannoutsos*, Menggang Yu and Hai Liu, Indiana University School of Medicine

9:45 Traditional and ‘Causal’ Models for Evaluating the Effectiveness of the Switch to Second Line Therapy in a Large, Ongoing HIV/AIDS Treatment and Care Program in a Resource Limited SettingSehee Kim and Donna Spiegelman*, Harvard School of Public Health; Claudia Hawkins, Northwestern University; Aisa Muya and Eric Aris, Manage-ment and Development for Health Dar es Salaam, Tanzania; Ester Mungure and Aveika Akum, Harvard School of Public Health; Guerino Chalamilla, Management and Development for Health Dar es Salaam, Tanzania and Wafaie W. Fawzi, Harvard School of Public Health


100. Memorial Session for Tom Ten Have Sponsor: ENAR Organizers: Dylan Small and Marshall Joffe, University of Pennsylvania Chair: Dylan Small, University of Pennsylvania

8:30 Celebrating the Life of Thomas R. Ten Have

J. Richard Landis*, University of Pennsylvania

8:55 Sizing Sequential, Multiple Assignment, Randomized Trials for Survival AnalysisZhiguo Li, Duke University and Susan Murphy*, University of Michigan

9:20 Post-Randomization Modification of Intent-to-Treat Effects in Randomized Clinical TrialsRongmei Zhang*, U.S. Food and Drug Administration; Marshall Joffe and Thomas Ten Have, University of Pennsylvania

9:45 Mediation Analysis on the Basis of Initial RandomizationMarshall Joffe, University of Pennsylvania


101. Topic Contributed Papers: Advanced Statistical Modeling for Complex OMICS Data Sponsor: ENAR Organizer: Hua Zhou, North Carolina State University Chair: Hua Zhou, North Carolina State University

8:30 Bayesian Model for Identifying Spatial

Interactions of ChromatinsShili Lin* and Liang Niu, The Ohio State University

8:50 Testing and Estimation of Partial Correlation NetworksFred A. Wright* and Min Jin Ha, University of North Carolina at Chapel Hill

9:10 Statistical Methods for Inference from Multiple ChIP-seq SamplesSunduz Keles*, University of Wisconsin, Madison

9:30 Statistical Models for Analyzing Sequencing ApplicationsZhaohui S. Qin*, Emory University

9:50 A Gene-Trait Similarity Regression Method for Common and Rare Variants with General Trait ValuesJung-Ying Tzeng*, North Carolina State University


102. Contributed Papers: Biomarkers II Sponsor: ENAR Chair: Ewout Steyerberg, Erasmus University Medical Center

8:30 The Application of Non-Linear Models to Understanding Sociodemographic Distributions of Health Over TimeDavid Rehkopf*, Stanford University

8:45 Adjusting for Matching and Covariates in Linear Discriminant AnalysisJosephine K. Asafu-Adjei*, Harvard School of Public Health; Allan R. Sampson and Robert A. Sweet, University of Pittsburgh

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9:00 Adjustment for Measurement Error in Evaluating Diagnostic Biomarkers by Using an Internal Reliability Samplen Matthew T. White* and Sharon X. Xie, University of Pennsylvania

9:15 Integrating Multiple Modalities of High Throughput Assays Using Item Response Theory: An Application to Identify Genes Altered in Ovarian CancerPan Tong*, University of Texas Health Science Center at Houston and Kevin R. Coombes, University of Texas MD Anderson Cancer Center

9:30 Estimating the Correlation Between Two Variables Subject to Limit of DetectionCourtney E. McCracken, Emory University and Stephen W. Looney*, Georgia Health Sciences University

9:45 Modeling Complex Structures in Neuropsychiatric Testing Data for Subjects with Pediatric DisordersVivian H. Shih*, Laurie A. Brenner, Carrie E. Bearden, Catherine A. Sugar and Steve S. Lee, University of California at Los Angeles


103. CONTRIBUTED PAPERS: Dynamic Treatment Regimens Sponsor: ENAR Chair: Douglas Gunzler, Case Western Reserve University

8:30 Q-learning for Estimating Optimal Dynamic

Treatment Rules from Observational DataErica E. Moodie*, McGill University and Bibhas Chakraborty, Columbia University

8:50 Weighted Log-rank Statistic to Compare Shared-Path Adaptive Treatment StrategiesKelley M. Kidwell* and Abdus S. Wahed, University of Pittsburgh

9:10 A Comparison of Q- and A-Reinforcement Learning Methods for Estimating Optimal Treatment RegimesPhillip J. Schulte*, Marie Davidian and Anastasios A. Tsiatis, North Carolina State University

9:30 Estimating Individualized Treatment Rules Using Outcome Weighted Learningn Yingqi Zhao* and Donglin Zeng, University of North Carolina at Chapel Hill; A. John Rush and Michael R. Kosorok, University of North Carolina at Chapel Hill

9:50 Choice of Optimal Estimators in Structural Nested Mean Models With Application to Initiating HAART in HIV Positive Patients After Varying Duration of InfectionJudith J. Lok*, Victor DeGruttola, Ray Griner and James M. Robins, Harvard School of Public Health


104. CONTRIBUTED PAPERS: Missing Data II Sponsor: ENAR Chair: R. Lakshmi Vishnuvajjala, U.S. Food and Drug Administration

8:30 A Joint Longitudinal-Survival Model to Analyze

Risk Factors for Death of Patients on the Liver Transplant Waiting ListArwin Thomasson*, Peter Reese, David Goldberg and Sarah Ratcliffe, University of Pennsylvania

8:45 Missing Covariates and the Plausibility of the Missing at Random AssumptionJonathan W. Bartlett* and James R. Carpenter, London School of Hygiene & Tropical Medicine, UK; Kate Tilling, University of Bristol, UK; Michael G. Kenward, London School of Hygiene & Tropical Medicine, UK and Stijn Vansteelandt, Ghent University, Belgium

9:00 Missing Value Imputation in Phenome DataGe Liao* and George C. Tseng, University of Pittsburgh

9:15 Weighted Semiparametric Estimation of the Cox Model for Interval-Censored Data with Missing CovariatesLu Wang* and Bin Nan, University of Michigan; Peng Zhang, Peking University and Andrew Zhou, University of Washington

9:30 Goodness-of-Fit Test to Distribution-Free Models for Longitudinal Studies with Informative Missing DataPan Wu* and Xin M. Tu, University of Rochester

9:45 Joint Empirical Likelihood Confidence Regions for the Evaluation of Continuous-Scale Diagnostic Tests in the Presence of Verification BiasBinhuan Wang* and Gengsheng Qin, Georgia State University


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105. CONTRIBUTED PAPERS: Multiple Testing Sponsor: ENAR Chair: Elizabeth L. Ogburn, Harvard University

8:30 Step-up-down Multiple Testing Procedures

and Their Control of False RejectionsAlexander Y. Gordon*, University of North Carolina at Charlotte

8:45 An Improved Hochberg Procedure for Multiple Tests of SignificanceDror M. Rom*, PSI Center for Statistical Research

9:00 Robust Identification of Conditional Gene Expression in Development of Onthophagus BeetlesGuilherme V. Rocha*, Karen Kafadar and Armin Moczek, Indiana University; Emilie Snell-Rood, University of Minnesota; Teiya Kijimoto and Justen Andrews, Indiana University

9:15 Estimating the Number of Genes that are Differentially Expressed in Both of Two Independent ExperimentsMegan C. Orr*, Peng Liu and Dan Nettleton, Iowa State University

9:30 An Adaptive Resampling Test for Detecting the Presence of Significant PredictorsIan W. McKeague and Min Qian*, Columbia University

9:45 Joint Modeling of Multiple Partially Observed Outcomes from Clinical TrialsNicholas J. Horton*, Smith College; Kypros Kypri, University of Newcastle, Australia; Frank B. Yoon, Mathematica Policy Research; Garrett M. Fitzmaurice and Stuart R. Lipsitz, Harvard Medical School and Sharon-Lise T. Normand, Harvard Medical School and Harvard School of Public Health

10:00 A Tight Prediction Interval for False Discovery Proportion under DependenceShulian Shang*, Mengling Liu and Yongzhao Shao, New York University

106. CONTRIBUTED PAPERS: Power / Sample Size Calculations Sponsor: ENAR Chair: Gerry W. Gray, U.S. Food and Drug Administration

8:30 Sample Size Estimation in Randomized Clinical Trials (RCTs) Designed to Establish the Interaction Between Prognostic Factor and Treatment: Impact of Prognostic Factor Distribution MisspecificationWilliam M. Reichmann*, Boston University School of Public Health and Brigham and Women’s Hospital; Michael P. LaValley and David R. Gagnon, Boston University School of Public Health and Elena Losina, Brigham and Women’s Hospital and Boston University School of Public Health

8:45 Comparison of Four-Period and Two- Period Crossover Studies for Comparing Within-Subject Variances of Two Treatments Donald J. Schuirmann*, U.S. Food and Drug Administration

9:00 Use of Longitudinal Registry Data for Optimal Design of Clinical Trials: An Example in Huntington’s Disease Elizabeth L. Turner* and Chris Frost, London School of Hygiene and Tropical Medicine

9:15 Assessing Probability of Success for Clinical Trials with Correlated Binary EndpointsMichael Dallas*, Guanghan Liu, Ivan Chan and Joseph Heyse, Merck Research Laboratories

9:30 Interim Design Resampling for Sample Size Re-estimationSergey Tarima*, Peng He, Tao Wang and Aniko Szabo, Medical College of Wisconsin

9:45 A General Approach for Estimating Stopping Probability of Large Confirmatory Group Sequential Clinical Trial in Life-Threatening Conditions Monitoring Binary Efficacy and Safety OutcomesYanqiu Weng*, Wenle Zhao and Yuko Y. Palesch, Medical University of South Carolina

10:00 GEE Method for Longitudinal Data Analysis in SMART Trials and the Associated Sample Size FormulaZhiguo Li*, Duke University

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Wednesday, April 4 (continued)

10:15 – 10:30 am | Break Grand Ballroom Pre-function Area

10:30 – 12:15 pm

107. Imaging, Omics, and High-Dimensionality Sponsor: IMS Organizer: Bin Nan, University of Michigan Chair: Bin Nan, University of Michigan

10:30 Multiple Comparison Procedures for

iQTL analysisDebashis Ghosh* and Wen-Yu Hua, Penn State University and Thomas E. Nichols, University of Warwick

10:55 Test for SNP-set Effects with Applications to Sequencing Association StudiesXihong Lin*, Harvard School of Public Health

11:20 Analyzing Joint and Individual Variation in Multiple Data SetsAndrew B. Nobel*, Eric S. Lock and J. S. Marron, University of North Carolina at Chapel Hill

11:45 What is in the News: Automatic and Sparse Summarization of Large Document Corpora Bin Yu* and Luke Miratrix, University of California at Berkeley; Jinzhu Jia, Peking University; Brian Gawalt, Laurent El Ghaoui and Jas Sekhon, University of California at Berkeley


108. Statistical Methods for Modeling Seer Population-Based Cancer Data Sponsor: ASA Section on Statistics and the Environment Organizer: Kathy Cronin, National Cancer Institute, National Institutes of Health Chair: Eric Feuer, National Cancer Institute, National Institutes of Health

10:30 Introduction: An Overview of Population-based

SEER Cancer Registry DataHyunsoon Cho* and Nadia Howlader, National Cancer Institute, National Institutes of Health

10:55 Using SEER Data to Develop Models of Absolute Cancer RiskMitchell H. Gail*, National Cancer Institute, National Institutes of Health

11:20 Detecting Multiple Change Points in Piecewise Constant Hazard FunctionsYi Li*, University of Michigan; Mitchell H. Gail, National Cancer Institute, National Institutes of Health and Jeanne Mandelblatt, Lombardi Cancer Center at Georgetown University

11:45 Mammography, Modeling and PoliticsJeanne Mandelblatt*, Lombardi Cancer Center at Georgetown University; Kathy Cronin, National Cancer Institute, National Institutes of Health; Don Berry, University of Texas MD Anderson Cancer Center; Harry DeKoning, Erasmus University Medical Center; Sandra Lee, Harvard University; Sylvia Plevritis, Stanford University; Clyde Schechter, Albert Einstein College of Medicine; Natasha Stout, Harvard Pilgrim Healthcare; Marvin Zelen, Harvard University and Eric Feurer, National Cancer Institute, National Institutes of Health


109. Powerful Statistical Models and Methods in Next Generation Sequencing Sponsor: ASA Biometrics Section Organizer: Lin Chen, University of Chicago Chair: Pei Wang, Fred Hutchinson Cancer Research Center

10:30 Analytical Challenges in Association Studies

with Whole-Genome SequencingDan L. Nicolae*, University of Chicago

11:00 Association Analysis of Genome-wide Genetic DataLi Hsu*, Fred Hutchinson Cancer Research Center

11:30 Exponential Combination Procedure for Set-Based Tests in Sequencing StudiesLin S. Chen*, University of Chicago; Li Hsu, Fred Hutchinson Cancer Research Center and Dan L. Nicolae, University of Chicago


110. Recent Advances in Clinical Trial Design: Utilities And Pitfalls Sponsor: ASA Biopharmaceutical Section Organizer: Yeh-Fong Chen, U.S. Food and Drug Administration Chair: Yeh-Fong Chen, U.S. Food and Drug Administration

10:30 Complex Clinical Trial Designs: An Overview

H.M. James Hung*, U.S. Food and Drug Administration

10:55 A Doubly Enriched Clinical Trial Design Merging Placebo Lead-in and Randomized WithdrawalRoy N. Tamura*, Eli Lilly and Company and Anastasia Ivanova, University of North Carolina at Chapel Hill

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11:20 Utility and Pitfalls with Adaptive Selection DesignSue-Jane Wang*, U.S. Food and Drug Administration

11:45 A Two Part Design for Evaluating Antiepileptic DrugsEugene Laska*, New York University School of Medicine


111. Individualized Risk Prediction Using Joint Models of Longitudinal and Survival Data Sponsor: ENAR Organizer: Hormuzd Katki, National Cancer Institute, National Institutes of Health Chair: Raji Sundaram, National Institute of Child Health and Development, National Institutes of Health

10:30 A Joint Model of Cervical Cancer, PAP Smears,

and HPV Tests for Use in Developing Cancer Screening GuidelinesHormuzd A. Katki*, National Cancer Institute, National Institutes of Health and Rajeshwari Sundaram, National Institute of Child Health and Human Development, National Institutes of Health

10:55 Prediction of Multivariate Binary Data with Multi-Scale Informative Dropout— A Joint Modeling ApproachAlexander C. McLain* and Rajeshwari Sundaram, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health

11:20 Different Parameterizations for Joint Models for Longitudinal and Survival Data, and How They Affect Individualized PredictionsDimitris Rizopoulos*, Erasmus University Medical Center

11:45 Joint Latent Class Models of Longitudinal and Time-to-Event Data in the Context of Individual Dynamic PredictionsCécile Proust-Lima* and Mbéry Séne, INSERM, France; Jeremy MG Taylor, University of Michigan and Hélène Jacqmin-Gadda, INSERM, France


112. Recent Advances in Dynamic Treatment Regimes Research Sponsor: ENAR Organizer: Bibhas Chakraborty, Columbia University Chair: Bibhas Chakraborty, Columbia University

10:30 Practical Issues in the Design, Conduct, and Analysis of Randomized Oncology Trials Comparing Dynamic Treatment RegimesPeter Thall*, University of Texas MD Anderson Cancer Center

10:55 A Policy Search Method for Estimating Treatment PoliciesXi Lu* and Susan A. Murphy, University of Michigan

11:20 Comparing Dynamic Treatment Regimes Via the G-FormulaMiguel A. Hernan*, Harvard School of Public Health

11:45 Realistic as Treated Dynamic Treatment RegimesAndrea Rotnitzky*, Universidad Di Tella and Harvard University and Sebastien Haneuse, Harvard School of Public Health


113. TOPIC CONTRIBUTED PAPERS: A Review of Established and New Methods of Multiple Imputation of Missing Data with the Emphasis on Available Software Packages Sponsor: ENAR Organizer: Victoria Liublinska, Harvard University Chair: Donald B. Rubin, Harvard University

10:30 Flexible Imputation with MICEStef van Buuren*, TNO

10:50 Multiple Imputation by Ordered Monotone Blocks with Application to the Anthrax Vaccine Adsorbed TrialFan Li*, Duke University; Michela Baccini and Fabrizia Mealli, University of Florence; Constantine Frangakis, Johns Hopkins University; Elizabeth Zell, Centers for Disease Control and Prevention and Donald B. Rubin, Harvard University

11:10 New Multiple Imputation Methods in SOLAS, Including a Combination of Two Hot-Deck Methods with Appealing PropertiesDonald B. Rubin and Victoria Liublinska*, Harvard University

11:30 Convergence Properties of Sequential Regression Multiple Imputation ApproachTrivellore Raghunathan* and Jian Zhu, University of Michigan

11:50 Making Multiple Imputation Accessible to Non-StatisticiansLeland Wilkinson*, University of Illinois at Chicago


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114. CONTRIBUTED PAPERS: Accelerated Failure Time Models Sponsor: ENAR Chair: Margaret Taub, Johns Hopkins University

10:30 Accelerated Failure Time Model for Case-Cohort Design with Longitudinal Covariates Measured with ErrorXinxin Dong*, University of Pittsburgh; Lan Kong, Penn State Hershey College of Medicine and Abdus S. Wahed, University of Pittsburgh

10:45 Accelerated Failure Time Modeling of Genetic Pathway Data Using Kernel Machines for Risk PredictionJennifer A. Sinnott* and Tianxi Cai, Harvard University

11:00 A Semiparametric Accelerated Failure Time Partial Linear Model and Its Application to Breast CancerYubo Zou and Jiajia Zhang*, University of South Carolina and Guoyou Qin, Fudan University, Shanghai, PR China

11:15 Parametric Inference on Accelerated Failure Time Model with Random EffectsKyungAh Im* and Jong-Hyeon Jeong, University of Pittsburgh and Rhonghui Xu, University of California-San Diego

11:30 Bayesian Semiparametric Accelerated Failure Time Model for Arbitrarily Censored Data Subject to Covariate Measurement ErrorXiaoyan Lin* and Lianming Wang, University of South Carolina

11:45 Subsample Ignorable Maximum Likelihood for Accelerated Failure Time Models with Missing PredictorsNanhua Zhang*, University of South Florida and Roderick J. Little, University of Michigan


115. CONTRIBUTED PAPERS: Environmental and Ecological Applications Sponsor: ENAR Chair: Eleanor Pullenayegum, McMaster University

10:30 The Effect of Air Pollution Control on Life Expectancy in the United States: An Analysis of 545 U.S. Counties for the Period 2000 to 2007Andrew W. Correia* and Francesca Dominici, Harvard University

10:45 Modeling Space-Time Quantile Surfaces for Nonstationary Random FieldsDana Sylvan*, Hunter College of the City University of New York

11:00 Fast Copula-Based Spatial Regression for Discrete Geostatistical DataJohn Hughes*, University of Minnesota

11:15 Mortality Effects of Particulate Matter Constituents in a National Study of U.S. Urban CommunitiesJenna R. Krall*, Johns Hopkins Bloomberg School of Public Health; Francesca Dominici, Harvard School of Public Health; Michelle L. Bell, Yale University and Roger D. Peng, Johns Hopkins Bloomberg School of Public Health

11:30 Estimating Covariance Parameters and Generalized Least Squares Estimators in Linear Models with Spatially Misaligned DataKenneth K. Lopiano* and Linda J. Young, University of Florida and Carol A. Gotway, Centers for Disease Control

11:45 Comparing Maps Across Time: Spatio-Temporal Moran’s I in STARMA ModelsNathan M. Holt* and Linda J. Young, University of Florida and Carol A. Gotway, Centers for Disease Control and Prevention

12:00 Modeling Low-rank Spatially Varying Cross-covariances using Predictive Process with Application to Soil Nutrient Datan Rajarshi Guhaniyogi*, University of Minnesota; Andrew O. Finley and Rich Kobe, Michigan State University and Sudipto Banerjee, University of Minnesota

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116. CONTRIBUTED PAPERS: Next Generation Sequencing Sponsor: ENAR Chair: Simone Gray, U.S. Environmental Protection Agency

10:30 Statistical Modeling of Closely Located Protein Binding Sites using Paired-End Tag (PET) ChIP-Seq Data, with Application to the Study of sigma70 Factor in Escherichia coliDongjun Chung*, Jeff Grass, Kevin Myers, Patricia Kiley, Robert Landick and Sunduz Keles, University of Wisconsin, Madison

10:50 A Generalized Linear Model for Peak Calling in ChIP-Seq DataJialin Xu* and Yu Zhang, The Pennsylvania State University

11:10 A Dynamic Signal Profile Algorithm Combined with a Bayesian Hidden Ising Model for ChIP-seq Data AnalysisQianxing Mo*, Baylor College of Medicine

11:30 Determining Probability of Rare Variants: Design Implications for Family-based Sequencing StudiesWenyi Wang* and Gang Peng, University of Texas MD Anderson Cancer Center

11:50 A Powerful Test for Multiple Rare Variants Association Studies that Incorporate Sequencing QualitiesZ. John Daye*, Hongzhe Li, University of Pennsylvania School of Medicine and Zhi Wei, New Jersey Institute of Technology


117. CONTRIBUTED PAPERS: Nonparametric Methods Sponsor: ENAR Chair: Ruosha Li, University of Pittsburgh

10:30 Bounded Influence Nonlinear Signed-Rank RegressionHuybrechts Frazier Bindele*, Auburn University

10:45 Asymptotic Optimality and Efficient Computation of the Leave-subject-out Cross-Validationn Ganggang Xu* and Jianhua Huang, Texas A&M University, College Station

11:00 Unconditional Tests to Measure Agreement for Categorial Data in Applications to a Brain Trauma StudyGuogen Shan*, Brain Trauma Foundation; Gregory Wilding and Changxing Ma, University at Buffalo; Alison Schonberger and Jamshid Ghajar, Brain Trauma Foundation

11:15 General Pivotal Goodness of Fit Test Based on Kernel Density EstimationHani M. Samawi* and Robert Vogel, Georgia Southern University

11:30 Berry-Esseen-Type Bounds for General Nonlinear Statistics, with Applications to Pearson’s and Non-Central Student’s and Hotelling’sIosif Pinelis*, Michigan Technological University

11:45 Bayesian Quantile Regression using Mixture of Polya Trees Prior Minzhao Liu* and Michael Daniels, University of Florida

12:00 Confidence Intervals Under Order RestrictionYong Seok Park*, John D. Kalbfleisch and Jeremy MG Taylor, University of Michigan

118. CONTRIBUTED PAPERS: Semi-Parametric and Non-Parametric Models Sponsor: ENAR Chair: Jing Zhang, University of Minnesota

10:30 Locally Efficient Estimation of Marginal Treatment Effects Using Auxiliary Covariates in Randomized Trials with Correlated OutcomesAlisa J. Stephens*, Eric Tchetgen Tchetgen and Victor De Gruttola, Harvard University

10:45 Kernel Machine Quantile Regression of Multi-Dimensional Genetic DataDehan Kong*, Arnab Maity and Jung-Ying Tzeng, North Carolina State University

11:00 An Improved Method for Choosing the Smoothing Parameter in a Semi-Parametric Change-point ModelSung Won Han*, Theresa Busch and Mary Putt, University of Pennsylvania

11:15 Semiparametric Bayesian Joint Modeling of a Binary and Continuous OutcomeBeom Seuk Hwang* and Michael L. Pennell, The Ohio State University

11:30 Semiparametric Single Index Interaction Model in 1-m Matched Case-Crossover StudiesChongrui Yu* and Inyoung Kim, Virginia Polytechnic Institute and State University

11:45 Generalized Method of Weighted Moments: A Robust Estimator of Polytomous Logistic ModelXiaoshan Wang* and Pranab K. Sen, University of North Carolina at Chapel Hill


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2012 ENAR Program Committee Debashis Ghosh (Chair) Penn State University

Jonathan Schildcrout (Co-Chair) Vanderbilt University

IMS Program Chair Yi LiHarvard University

At-Large Members Lei NieU.S. Food and Drug Administration

Xiaoxi ZhangPfizer

Abdus WahedUniversity of Pittsburgh

ASA Section Representatives Carmen Mak MerckASA Biopharmaceutical Statistics Section

Brian ReichNorth Carolina State UniversityASA Section on Statistics and the Environment

Daniel ScharfsteinJohns Hopkins UniversityASA Biometrics Section

Nichole CarlsonUniversity of Colorado Health SciencesASA Section on Teaching Statistics in the Health Sciences

Annie QuUniversity of IllinoisASA Section on Statistical Learning and Data Mining

Daniel RoweMarquette UniversityASA Section on Neurostatistics

Larry TangGeorge Mason University ASA Section on Health PolicyStatistics

Yan LiUniversity of Texas, ArlingtonASA Section on Survey Research Methods

ENAR Educational Advisory Committee Bradley CarlinUniversity of Minnesota

Dean FollmannNIH/NIAID

Joe HoganBrown University

Gene PennelloCDRH/FDA

José PinheiroJohnson & Johnson PRD

Local Arrangements Chair Rochelle TractenbergGeorgetown University

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ENAR Student Awards (2012) Sharon-Lise Normand (Chair) Harvard University

ENAR Diversity Workshop (2012) Renée Moore (Co-Chair) University of Pennsylvania School of Medicine

Knashawn Morales(Co-Chair)University of Pennsylvania School of Medicine

ENAR Workshop for Junior Biostatistians in Health Research (2012) Limin Peng (Chair)Emory University

Karen Bandeen-Roche (2012 ENAR President)Johns Hopkins University

Marie DavidianNorth Carolina State University

Kimberly DrewsGeorge Washington University

Amy Herring (2012 ENAR Past President)University of North Carolina at Chapel Hill

Xihong LinHarvard University

Bhramar MukherjeeUniversity of Michigan

Judy (Huixia) WangNorth Carolina State University

Mike WuUniversity of North Carolina at Chapel Hill

ENAR Executive Team at Drohan ManagementKathy Hoskins (Executive Director)

Laura Yarborough (Program Manager)

Jennifer Weitz (Administrative Assistant)


Engaging, Inspiring, and Training the Next Generation:

Past Successes, Future Challenges and Opportunities

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Marie DavidianDepartment of Statistics | North Carolina State University

Our discipline is in an unprecedented and enviable position. Scientific inquiry, public policy, and decision-mak-ing in industry are all increasingly dependent on the

collection and interpretation of what are often vast amounts of complex data, and we – statisticians – are uniquely qualified to address the challenges posed by this data “explosion” and to ensure that the infer-ences drawn are sound and that the results are communicated appropriately. Opportunities for statisticians abound; the position of statistician has even been called “the sexy job in the next ten years.” Advanced Placement (AP) statistics courses in high school have seen a tremendous rise in enrollment in the past decade. So why aren’t more US students pursuing gradu-ate training in our discipline and choosing statistics as a career? My experience and that of numerous colleagues in academia, industry, and government is that many quali-fied US students still do not know enough about the opportunities for statisticians or the training required and are diverted by other Science, Technology, Engineering, and Mathematics (STEM) disciplines that may be more familiar.

This shortage of US students entering our graduate programs and profession is nothing new. For example, two workshops were held by NIH in the early 2000s to discuss the need for increasing the pipeline of biostatisticians to meet the expand-ing needs of the nation’s health sciences research enterprise and resulted in a white paper (DeMets et al. 2006) calling for more training programs and opportunities to en-courage US students to pursue biostatistics careers. In 2003, the National Heart, Lung, and Blood Institute (NHLBI) took action,

soliciting applications for a “Summer Institute for Training in Biostatistics” (SIBS), restricted to US citizen and permanent resident undergraduates, to expose these students to biostatistical science and practice and the pmyriad career opportunities available and to encourage them to seek graduate train-ing. What began as three such programs in 2004 was expanded to eight in 2010, and over the past eight summers, hundreds of students have participated, and scores who might otherwise have pursued training in other STEM disciplines have entered graduate programs in statistics and bio-statistics nationwide. However, this and the small number of other government-funded statistics programs cannot alone address the challenge we face in bringing talented, diverse students to our field.

Since 2004, I have been privileged to co-direct one of the eight SIBS programs, which is a joint effort between my Depart-ment and Duke Clinical Research Institute (DCRI). I also direct a NHLBI-funded predoctoral training program that provides US PhD students in my department with un-paralleled collaborative experience at DCRI. I have seen firsthand how such opportunities have been transformative, altering the career aspirations of so many US students. In this talk, I will review the history of all eight SIBS programs and my experience with training the next generation more generally. I will then argue that, if we are to achieve the statistical workforce required to meet the demand, there must be a broader effort in which stakeholders from all sectors, industry, government, and academia, come together to conceive of and support programs to increase the numbers of US students enter-ing graduate programs in statistics and bio-statistics and to provide them with essential practical experience and skills while they are still in training. I hope to inspire all of you to join me in making such an effort a reality.

DeMets, D.L.; Stormo, G.; Boehnke, M.; Louis, T.A.; Taylor, J.; Dixon, D. (2006). Training of the Next Generation of Biostatisticians: A Call to Action in the U.S. Statistics in Medicine 25, 3415–3429.

Biography

Marie Davidian is William Neal Reynolds Distinguished Professor of Statistics at North Carolina State Univer-sity (NCSU). She received bachelors and master’s degrees in applied mathematics in 1980 and 1981 from the University of Virginia and received a Ph.D. in statistics from the University of North Carolina at Chapel Hill in 1987 under the direction of Raymond J. Carroll.

She joined the Department of Statistics at NCSU in 1987 and returned in 1996 after serving on the faculty in the Department of Biostatistics at Harvard School of Public Health from 1994-1996. Marie is an elected Fellow of the American Statistical Associa-tion (ASA), the Institute of Mathematical Statistics (IMS), and the American Association for the Advance-ment of Science (AAAS) and is an elected member of the International Statistical Institute (ISI).

She has served as Coordinating and Executive Editor of Biometrics; as chair of the National Institutes of Health Biostatistical Methods and Research Design (BMRD) study section; on the International Biometric Society (IBS) and IMS Councils; as chair of a number of IBS committees, including the Editorial Advisory Committee; and as ENAR president. She is a recipi-ent of the Janet L. Norwood Award for Outstanding Achievement by a Woman in the Statistical Sciences, the ASA Award for Outstanding Statistical Application, an IMS Medallion Lecturer award, and the Committee of Presidents of Statistical Societies (COPSS) G.W. Snedecor and F.N. David Awards, as well as several distinguished lectureships.

She is currently ASA President-Elect. Since 2004, she has co-directed the NCSU–Duke Clinical Re-search Institute (DCRI) Summer Institute for Training in Biostatistics (SIBS) program, funded by a grant from the National Heart, Lung and Blood Institute (NHLBI) and the National Center for Research Resources. The program and its seven current counterparts at Boston University, Emory University, University of Iowa, University of Pittsburgh, Univer-sity of South Florida, Washington University in St. Louis, and University of Wisconsin have inspired scores of talented US undergraduates to pursue graduate training in biostatistics. Marie is also Program Director of a NHLBI-funded predoctoral training grant program in cardiovascular disease biostatistics, also joint with DCRI.


Richard Lewis Tweedie played a significant role throughout his profes-

sional career in mentoring young colleagues at work and through professional

society activities. With funds donated by his friends and family the IMS created the

“Tweedie New Researcher Award.” The award provides funds for travel to present the

“Tweedie New Researcher Invited Lecture” at the IMS New Researchers Conference.

Statistical Learning with High-Dimensional Data

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Hui ZouUniversity of Minnesota

High-dimensionality has revolutionized the landscape of statistical inference and learning. After a brief literature review I will use two examples to illustrate some

strategies to exploit the sparsity assump-tion in high-dimensional learning. In the first example I will discuss the problem of sparse discriminant analysis which has received a lot of attention in the past

decade. This is a classical supervised learning problem. Some fundamental drawbacks of existing proposal will be pointed out and a new approach to sparse discriminant analysis will be presented and demonstrated by theoretical analysis and many numerical examples. The second example concerns learning graphical models with non-Gaussian data. Under normality assumption graphical model learning is often formulated as estimat-ing the precision matrix of a multivariate normal distribution. However, the observed data are often skewed or have heavy tails. To deal with the non-normality issue I will introduce a much more flexible graphical model and new estimation methods will be presented together with theoretical and numerical results.



Short Courses – Sunday, April 1, 2012

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Half Day Second Half Day Full Day Half Day Second Half Day Full Day

MEMBER $ 160 $ 120 $ 250 $ 185 $ 140 $ 275

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SC1 Bayesian Adaptive Methodsfor Clinical TrialsFULL DAY: 8:00 am – 5:00 pm

Instructors: Scott Berry Berry Consultants and Brad Carlin University of Minnesota

Overview: Thanks in large part to the rapid development of Markov chain Monte Carlo (MCMC) methods and software for their implementation,Bayesian methods have become ubiquitous in modern biostatistical analysis. In submissions to the U.S. FDA Center for Devices and Radiological Health, where data on new devices are often scanty but researchers typically have access to large historical databases, Bayesian methods have been in common use for over a decade and in fact were the subject of a recently-released FDA guidance document. Statisticians in earlier phases (especially Phase I oncology trials) have long appreciated Bayes’ ability to get good answers quickly. Moreover, an increasing

desire for adaptability in clinical trials (to react to trial knowledge as it accumulates) has also led to heightened interest in Bayesian methods.

This full-day course (4 consecutive sessions) introduces Bayesian methods, computing, and software, and then goes on to elucidate their use in Phase I, II, and III trials. We include descriptions of how the methods can be implemented in WinBUGS, R, and BRugs, the version of the BUGS package callable from within R. In particular, we will illustrate the different ways a Bayesian might think about power when designing a trial, and how a Bayesian procedure may be calibrated to guarantee good long-run frequentist performance (i.e., low Type I and II error rates), a subject of keen interest to the FDA.

Morning Session 1: Introduction to Hierarchical Bayes Methods and Computing

Bayesian inference: point and interval estimation, model choice Bayesian computing: MCMC methods; Gibbs sampler; Metropolis-Hastings algorithm Hierarchical modeling and metaanalysis Principles of Bayesian clinical trial design: predictive probability, indifference zone, Bayesian and frequentist operating characteristics (power, Type I error)

Morning Session 2: Bayesian Design and Analysis for Phase I Studies

– Rule-based designs for determining the MTD (e.g., 3+3)

– Model-based designs for determining the MTD (CRM, EWOC, TITE monitoring, toxicity intervals) Dose ranging and optimal biologic dosing

– Efficacy and toxicity

– Examples and software

Afternoon Session 1: Bayesian design and analysis for Phase II Studies

– Standard designs: Phase IIA (single-arm) vs. Phase IIB (multi-arm)

– Predictive Probability-based methods

– Sequential stopping: for futility, efficacy

– Multi-arm designs with adaptive dose allocation

– Hierarchical Phase II models and examples


Afternoon Session 2: Bayesian Design and Analysis for Phase III Studies

– Confirmatory trials

– Adaptive confirmatory trials: adaptive sample size, futility analysis, arm dropping

– Modeling and prediction

– Examples from FDA-regulated trials

– Seamless Phase II-III trials

– Multiplicity and Subset Analysis

– Summary and Floor Discussion

Students are invited to bring their own laptop computers to the session, and to have the latest versions of WinBUGS and R already installed on these computers. Both of these programs are freely available from www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml and www.r-project.org respectively. The presentation will assume familiarity with basic Bayesian methods and MCMC algorithms, at the level of, say, Chapters 2 and 3 of Carlin and Louis (2009) or Chapters 2, 3, 5, and 11 of Gelman et al. (2004). The workshop’s goal is to make these methods come alive in the software through real data examples that the students try for themselves during the presentation.

SC2 Regression Modeling Strategies FULL DAY: 8:00 am – 5:00 pm

Instructor: Frank Harrell Vanderbilt University School of Medicine

Description: Regression models are frequently used to develop diagnostic, prognostic, biomarker, and health resource utilization models in clinical, health services, outcomes, pharmacoeconomic, and epidemiologic research, and in a multitude of non-health-related areas. Regression models are also used

to adjust for patient heterogeneity in randomized clinical trials, to obtain tests that are more powerful and valid than unadjusted treatment comparisons. Models must be flexible enough to fit nonlinear and non-additive relationships, but unless the sample size is enormous, the approach to modeling must avoid common problems with data mining or data dredging that result in overfitting and a failure of the predictive model to validate on new subjects.

All standard regression models have assumptions that must be verified for the model to have power to test hypotheses and for it to be able to predict accurately. Of the principal assumptions (linearity, additivity, distributional), this short course will emphasize methods for assessing and satisfying the first two. Practical but powerful tools are presented for validating model assumptions and presenting model results. This course provides methods for estimating the shape of the relationship between predictors and response.

The first part of the course presents the following elements of multivariable predictive modeling for a single response variable: using regression splines to relax linearity assumptions, perils of variable selection and overfitting, where to spend degrees of freedom, shrinkage, imputation of missing data,

data reduction, and interaction surfaces. Then a default overall modeling strategy will be described, with an eye towards “safe data mining”. This is followed by methods for graphically understanding models (e.g., using nomograms) and using re-sampling to estimate a model’s likely performance on new data.

Participants should have a good working knowledge of multiple regression. The following articles might be read in advance:

– Harrell, Lee, Mark Stat in Med 15:361-387, 1996

– Spanos, Harrell, Durack JAMA 262:2700-2707, 1989

– Some participants may want to read Chapters 1-5 and 10 of the instructor’s book Regression Modeling Strategies (NY: Springer, 2001).

See: biostat.mc.vanderbilt.edu/rms for more background information.

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SC3 Sensitivity Analysis with Missing Data: Statistical Methods and Case StudiesFULL DAY: 8:00 am – 5:00 pm

Instructors: Joseph Hogan Brown University and Daniel Scharfstein Johns Hopkins Bloomberg School of Public Health

Description: Missing data continues to be a concern in modern clinical trials and observational studies. The fundamental problem in drawing inference from incomplete data is that assumptions about the distribution of missing responses cannot be checked empirically.

In this course, we focus on the formula-tion and interpretation of sensitivity analy-ses, wherein sensitivity of estimates and inferences to assumptions about missing data can be represented. Key concepts related to handling missing data will be reviewed, but the primary focus is on formulating and conducting sensitivity analyses for reporting of treatment or exposure effects.

A key feature of the course is presenta-tion of detailed case studies. We will provide detailed background on two recent randomized trials, compare and contrast potential methods of analysis, demonstrate a specific analysis, and give guidelines on interpreting and reporting results. Although we use randomized trials to illustrate methods and concepts, the principles taught in this course are ap-plicable to observational studies as well.

SC4 Statistical Methods for Next Generation Sequencing

HALF DAY: 8:00 am – 12:00 noon

Instructors: Zhijin (Jean) Wu Brown University Kasper D. Hansen Johns Hopkins Bloomberg School of Public Health Rafael Irizarry Johns Hopkins Bloomberg School of Public Health

Description: Next generation sequencing (NGS) technologies provide high throughput identification of DNA sequences. The popularity of NGS applications is rapidly increasing in biomedical research. These applications include quantification of gene expression and identification of isoform variation (RNA-seq), detection of protein-DNA interaction locations (CHIP-seq), DNA variant detection and

quantification of DNA methylation. As in all high throughput technologies, analysis of NGS data requires statistical meth-odology that appropriately accounts for the stochastic nature of biology and data generation processes. The half-day short course will provide an introduction to the technology and its applications, a review of the statistical issues related to each application, and statistical methods for a few typical applications including RNA-seq, SNP-calling and DNA methylation. It will also include hands-on exercise of sequence mapping and statistical analy-sis. No textbook will be followed, but handouts will be provided. Familiarity with R is a prerequisite and laptop computers are necessary for participants who wish to participate in the labs.

Learning Objectives: The participants are expected to gain knowledge in the following areas:

1. How data are obtained in NGS and sources of variation

2. Statistical issues in major applications of NGS

3. Specific statistical methods that provide practical results for selected applications

4. Using R/bioconductor packages to perform data analysis


SC7 The Statistical Impact on Biopharmaceutical Drug Development of the ICH Efficacy Guidelines

Instructor: Allan Sampson University of Pittsburgh

HALF DAY: 1:00 pm – 5:00 pm

Description: This four hour workshop will provide an introduction to the International Conference on Harmonization (ICH) Efficacy Guidelines, with the primary emphasis being on their statistical aspects. The ICH has issued a series of technical guidelines that have had a major impact on biopharmaceutical research worldwide. This workshop is intended to provide attendees with an overview of the set of guidelines that focus on clinical trials. To familiarize attendees with the ICH, we begin with a brief history concerning the ICH and also summarize the current structures of the biopharmaceutical regulatory authorities of Europe, Japan and the US. We will then proceed to consider the main statistical considerations in the ICH Efficacy Guidelines. Necessarily, with the exception of the E9 Guideline (“Statistical Principles for Clinical Trials”), only the more important statistical highlights of these can be touched upon. The major focus of the workshop is on E9 and we will provide a detailed examination of this highly influential statistical guideline. This workshop is intended for statisticians who have some familiarity with clinical trials and who want to familiarize themselves with the ICH and its effects upon the statistics of biopharmaceutical clinical development.

SC5 Latent Variable Models for Networks and Relational DataHALF DAY: 1:00 pm – 5:00 pm

Instructor: Peter Hoff University of Washington

Description: Network and relational data structures have increasingly played a role in the understanding of complex biological, social and other relational systems. Sta-tistical models of such systems can give descriptions of global relational features, characterize local network structure, and provide predictions for missing or future relational data.

Latent variable models are a popular tool for describing network and relational patterns. Many of these models are based on well-known matrix decomposition methods, and thus have a rich mathematical framework upon which to build. Additionally, the parameters in these models are easy to interpret: Roughly speaking, a latent variable model posits that the relationship between two nodes is a function of observed and unobserved (latent) characteristics, potentially in addition to contextual factors.

In this course we will cover the statistical implementation and interpretation of latent variable modeling approaches to relational and network data. We first develop a mathematical justification for these models based on exchangeability and symmetry considerations. We then review fitting algorithms and illustrate several latent variable models in the context of hands-on statistical analysis of several network datasets. We then show how these models can be used to address a variety of statistical tasks, such as prediction and imputation,

data description and evaluating the relationship between network and nodal attribute data. Finally, we extend these models in a variety of directions, such as the identification of network communities and the modeling of multivariate relational data, such as longitudinal networks.

Participants should be familiar with matrix algebra and the basics of likelihood estimation for a general statistical model. Familiarity with one or more of the following would also be helpful but not necessary: Bayesian inference, factor analysis, linear regression, MCMC, data analysis with R.

SC6 Current Methods for Evaluating Prediction Performance of Biomarkers and Tests

Instructor: Margaret Pepe Fred Hutchinson Cancer Research Center

HALF DAY: 8:00 am – 12:00 noon

Description: This course will describe and critique methods for evaluating the performance of markers to predict risk of a current or future clinical outcome. Examples from cancer, cardiovascular disease and kidney injury research will be presented. Course content will include:

a. Three criteria for evaluating a risk model: calibration, benefit for decision making, accurate classification

b. Comparing models

c. Comparing baseline and expanded models

d. Hypothesis testing and confidence interval construction

e. Risk reclassification analysis strategies

f. Relationships and differences with assessing discrimination

g. Software

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T1: Methods for Reproducible Research in RMonday, April 2, 8:30 am – 10:15 am

Instructor: Roger Peng Johns Hopkins Bloomberg School of Public Health

Description: The validity of conclusions from scientific investigations is typically strengthened by the replication of results by independent researchers. Full replication of a study’s results using independent methods, data, equipment, and protocols, has long been, and will continue to be, the standard by which scientific claims are evaluated. However, in many fields of study, there are examples of scientific investigations which cannot be fully repli-cated, often because of a lack of time or resources. For example, epidemiological studies which examine large populations and can potentially impact broad policy or regulatory decisions, often cannot be fully replicated in the time frame necessary for making a specific decision. In such situations, there is a need for a minimum standard which can serve as an intermediate step between full replica-tion and nothing. This minimum standard is reproducible research, which requires

that datasets and computer code be made available to others for verifying published results and conducting alter-nate analyses. The tutorial will provide an introduction to tools for conducting reproducible research using R and LaTeX. We will focus on the R statistical computing language and will discuss other tools that can be used for produc-ing reproducible documents. Topics that will be discussed include Sweave, literate programming, and efficient caching of large computations.

Prerequisites: Knowledge of R and some familiarity with the LaTeX typesetting system.

T2: Object Oriented Data AnalysisMonday, April 2 10:30 am – 12:15 pm

Instructor: J. S. Marron University of North Carolina

Description: Object Oriented Data Analysis is the statistical analysis of populations of com-plex objects. This tutorial will begin with building basic ideas in the special case of Functional Data Analysis, where data objects are curves. In that case standard Euclidean approaches, such as principal components analysis, have been very successful.

The latter part of the tutorial will draw its motivation from medical image analysis, which leads naturally to the statistical analysis of populations of more com-

plex data objects. Cases discussed will include elements of mildly non-Euclidean spaces, such as geometric manifolds (e.g. shape spaces), and of strongly non-Euclidean spaces, such as populations of tree-structured data objects. These new contexts for Object Oriented Data Analysis create several potentially large new interfaces between mathematics and statistics.

T3: Comparative Effectiveness Research: Opportunities and ChallengesMonday, April 2, 1:45 – 3:30 pm

Instructor: Sharon-Lise T. Normand Harvard Medical School and Harvard School of Public Health

Description: Comparative effectiveness research (CER) “is the conduct and synthesis of research comparing the benefits and harms of different interventions and strategies to prevent, diagnose, treat and monitor health conditions in real world settings.” As such, it includes a variety of

NOTE: Wireless access will not be available in the classroom and participants should check the ENAR website (www.enar.org) for instructions on download prior to the meeting.

Tutorials – Monday, April 2 & Tuesday, April 3, 2012

REGISTRATION PAYMENT RECEIVED


T1 T2 T3 T4 T6 T6 T1 T2 T3 T4 T5 T6

MEMBER $ 75 $ 85

NONMEMBER $ 85 $ 95


statistical designs, including randomized trials, pragmatic trials, and observational studies. With the growth of electronic health records and registries, opportuni-ties to answer causal questions about therapies delivered in routine practice are increasing. Along with these opportuni-ties, however, new statistical problems arise. This tutorial will describe the rationale for CER, common designs and analytical tools for CER, illustrations, and new challenges for statisticians. Partici-pants should be familiar with randomized trials and regression techniques.

T4: Towards High-Performance Computing with RMonday, April 2, 3:45 – 5:30 pm

Instructor: John W. Emerson, Yale University

Description: This tutorial assumes assumes some basic familiarity with R but does not require advanced knowledge. It will start by reviewing the pros and cons of the core data structures (vector, factor, list, matrix, and data.frame) with an eye towards computational efficiency (speed and memory consumption). We will then learn about basic benchmarking with functions, loops, and loop alterna-tives (the apply family of functions, in particular). This leads naturally to topics in high-performance computing, includ-ing (a) foreach (and associated parallel backends) for parallel programming; (b) an introduction to the C/C++ interface and Rcpp; and (c) the use of shared memory and larger-than-RAM data sets. Participants are encouraged to download materials prior the tutorial and to work through the examples during the tutorial.

T5: Slippery Slopes: A Practical Introduction to Spatially Varying Slopes in Regression ModelsTuesday, April 3, 8:30 – 10:15 am

Instructor: Lance A. Waller Rollins School of Public Health Emory University

Description: Regression frameworks provide the basis for many statistical modeling methods. The assumptions of independent, Gauss-ian errors, fixed associations across the data set, and constant variance provide a comfortable arrangement leading to many of our favorite tools for variable selection, testing, and inference. With geographically referenced data, we often want to loosen each of these restrictions allowing correlated, non-Gaussian errors, spatially varying associations, and hetero-skedasticity. This tutorial will provide an overview of recent modeling approaches to these settings including geographically weighted regression (GWR), hierar-chical modeling with random effects (random intercepts to induce spatial correlation between observations and random slopes to allow associations to vary across space). It will compare and contrast the assumptions, implementa-tion, and inference enabled by these two approaches. It will also explore the robustness of results and assumptions

required for successful implementation. Results on data involving violent crime, illegal drug arrests, and alcohol sales will be compared. Data and illustrative R and WinBUGS code will be provided to participants.

T6: Introduction to MATLAB for StatisticiansTuesday, April 3, 1:45 – 3:15 pm

Instructor: Wendy L. Martinez Department of Defense

Description: This course will provide a brief introduc-tion to MATLAB for statisticians. In the first part of the class, an overview and demonstration of the MATLAB software will be provided, to include the desktop environment, programming tools, and basic graphics. In the remainder of the class, free and commercial toolboxes that would be of interest to statisticians will be introduced. Examples of commercial packages include the Statistics, Curve Fitting, and Bioinformatics toolboxes from The MathWorks. Examples of free software are the Computational Statistics, Exploratory Data Analysis, and Data Visu-alization toolboxes. Time permitting, the class will conclude with a brief discussion of ways to connect MATLAB and R.

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R1: Latent Variable Modeling of High-dimensional Mixed Data

Discussion Leader: David Dunson Duke University

Description: It has become common to collect high-dimensional data in biomedical studies and models are needed for character-izing dependence with relatively few pa-rameters. A very commonly used model is the Gaussian latent factor model, which has been widely used for gene expression data. However, latent factor models are much more broad and can be applied not only for continuous data, such as gene expression, but for general mixed domain data including not only simple cases (count, binary, categorical, continuous) but also complex “object data” (functions, images, text, shapes, etc). This roundtable will discuss recent developments and applications of latent variable models.

R2: Data Science: Redesigning Statistics PhD Programs to Enhance Relevance

Discussion Leader: Scott Zeger Johns Hopkins University

Description: Statistical expertise has never been in greater demand, particularly at the interface with sciences such as as-tronomy, physics, economics, medicine, biology, and genetics. Throughout its history, statistics has been dramati-

cally advanced by engagement in these disciplines and others. But research at the science interface now requires more substantive knowledge to complement the statistical training. In addition, the questions being asked demand new skills of statisticians, for example, com-puting on large data sets.

This conversation will briefly review the core content of statistics and biostatis-tics programs across the US and then discuss essential revisions of the core to make PhD training maximally relevant to science.

R3: Navigating Promotion and Tenure in Schools of Medicine, Public Health, and Arts & Sciences

Discussion Leaders: J. Richard Landis University of Pennsylvania Tom Louis Johns Hopkins Bloomberg School of Public Health James Rosenberger The Pennsylvania State University

Description: Academic biostatisticians and statisticians know well that promotion and tenure are awarded based on scholarship, educa-tion, and service. However, promotion and tenure criteria do vary amongst universities and schools within them. Moreover, schools of arts and science, medicine, and public health have different cultures, potentially leading to variation in weighting of the scholarship, education and service components. Roundtable leaders will summarize and contrast their views on these issues from the perspec-tive of leading or having led a statistics department or a division of biostatistics

in three different universities and schools. Professor Landis directs the Division of Biostatistics in Penn’s School of Medi-cine; Professor Louis is the former chair of the Division of Biostatistics, School of Public Health, University of Minnesota; and Professor Rosenberger chaired the Department of Statistics, Eberly College of Science at Penn State. Discussion topics will relate to navigating your professional career and include relative valuation of the teaching, research, and service criteria, publication portfolio, grant funding and roles, necessary and sufficient service and the advantages of effective mentoring. Participants should be ready to pose questions and discuss their experiences and concerns. All should leave the roundtable with broad-ened perspectives and understanding of the ingredients that will structure a career for success.

R4: Bayesian Statistics in Clinical Trials and the Role of the FDA

Discussion Leader: Gregory Campbell U.S. Food and Drug Administration

Description: Bayesian designs and analyses are part of an increasing number of premarket submissions to FDA. An initiative, begun in FDA’s Center for Devices and Radio-logical Health more than ten years ago, takes advantage of good prior informa-tion on safety and effectiveness that is often available for studies of the same or similar recent generation devices. A guid-ance document on the use of Bayesian

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statistics in medical device clinical trials, finalized in 2010, explores not only the use information from prior trials but also designs that rely on no prior information but are planned to adapt to accumulating evidence during the course of the trial. The issue of simulation for Bayesian de-signs and software for Bayesian analyses is discussed. A number of important les-sons in the design, conduct and analysis of clinical studies are explored, along with possible implications for drug trials or studies of diagnostic tests. Insights into success are addressed as well as challenges for the future.

R5: Longitudinal Data Analysis, Functional Data Analysis, Model Selection and Their Use In Applications

Discussion Leader: Naisyin Wang University of Michigan

Description: There are many shared features between longitudinal and functional data analysis. Lately there is interest from researchers in both areas to investigate how to bor-row strengths from each other. We will have a lively discussion on model build-ing, model selection/regularization and how these issues matter conceptually and in real-life applications. In particular, we will discuss what could be the po-tential criteria to determine the simplicity and flexibility of model, wherther these criteria should be modified to adjust for data structure, and whether research-ers should try to pursue a common approach that fits both fields or should customize methods for their distinctive needs. Participants are also welcomed to send topics of interest to the discussion leader in advance so that handouts can be made and shared by all participants.

R6: Gender Issues in Academia and How to Balance Work and Life

Discussion Leader: Francesca Dominici Harvard University

Description: Despite interventions by leaders in higher education, women are still under-repre-sented in academic leadership positions. This dearth of women leaders is no longer a pipeline issue, raising questions as to the root causes for the persistence of this pattern. We have identified four themes as the root causes for the under-representation of women in leadership positions from focus group interviews of senior women faculty leaders at Johns Hopkins. These causes are found in routine practices surrounding leadership selection as well as in cultural assump-tions about leadership potential and effectiveness. As part of this roundtable, I will discuss these findings and I will facilitate an informal discussion on how to balance work and life.

R7: Statistical Methods to Evaluate Diagnostic Medical Tests

Discussion Leader: Gene Pennello Food and Drug Administration

Description: Statistical evaluation of diagnostic medical tests may become increasingly challenging because of growth in areas such as personalized medicine, medical imaging, diagnostic software, and mobile applications. Statistical methods continue to evolve to evaluate diagnostic tests for specific intents of use. A basic challenge with diagnostic performance studies is their observational nature. Typically, the diagnostic result is examined for its association with a reference result (e.g., presence or absence of disease). Because subjects are not randomized, associations may not be causal. Many

sources of bias can be introduced into such studies. This roundtable will provide a forum to discuss statistical methods to evaluate diagnostic medical tests for specific intents of use. Specific uses in-clude diagnosis in symptomatic subjects, screening of asymptomatic subjects, early detection, monitoring, risk assess-ment, prognosis, and tailoring of therapy. To frame the scope of discussion, diag-nostic tests can be defined as providing results that are used alone or with other information to help assess a subject’s past, present, or future health condition. Diagnostic tests include in vitro diag-nostic tests (which examine specimens taken from the human body), diagnostic imaging systems (e.g., digital mammog-raphy), devices that provide biological measurements (e.g., bone density, blood glucose level, cardiac ejection fraction), and algorithms that combine subject data to yield a classification, score, or index (e.g,. the Framingham risk score, the Gail score, Genomic Health’s Oncotype Dx assay).

R8: The Role of Statisticians at the NIH

Discussion Leaders: Dean Follmann National Institute of Allergy and Infectious Diseases Nilanjan Chatterjee National Cancer Institute

Description: Statisticians at the NIH have diverse roles including collaborative research, over-sight/monitoring of multi-center medical experiments, consultation services, and methodological research. NIH statisti-cians need strong methodological skills, superb communication, and the ability to creatively attack problems. At the NIH

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there are two career paths; one is focused more on methodological research, has formal temporary positions and can culminate in tenure; the other focuses more on collaborative research. Topics to be discussed include typical career trajectories for visiting and perma-nent employees, what it takes to excel at NIH, the tenuring process, and the kinds of research studies statisticians conduct. Dr. Follmann is the Chief of the Biosta-tistics Research Branch (extramural) at the NIAID, and Dr. Chatterjee is the Chief of the Biostatistics Branch in the Division of Cancer Epidemiology and Genetics (intramural) at the NCI.

R9: Conducting Methodological Research in Statistics in the Biopharmaceutical Industry

Discussion Leader: José Pinheiro Johnson & Johnson PRD

Description: The pipeline problem currently facing the pharmaceutical industry, with decreas-ing number of approved drugs and escalating development costs, has led to renewed interest in innovative designs and analysis methods aimed at improv-ing the efficiency and overall success rate of drug development programs. Adaptive designs, model-based drug development, and clinical trial simula-tions are examples of current areas of great methodological interest and activity within the pharma industry. Although considerable amount of research in biopharmaceutical statistics takes place in academia, an increasing number of statisticians in industry have played a leading role in methodological develop-ment in the field. Motivated by this, several companies have created groups dedicated to methodological develop-

ment and implementation, with mixed success. This roundtable will discuss statistical methodology research within the biopharmaceutical industry, focus-ing on areas of ongoing and potential interest, strategies used by companies to promote and sustain methodology groups, and the outlook for the future.

R10: Beyond BMRD: Success in Statistical Grant Applications to Subject-Area Science Study Sections at the NIH and NSF

Discussion Leader: Jun Liu Harvard University

Description: In these times of threat to research funding, developing a portfolio of grant options takes on increasing importance. In this roundtable, you will participate in discussion of funding opportunities in subject-area science study sections at the NIH and NSF. Your discussion leader, Jun Liu, will describe options with promise beyond the Biostatisti-cal Methodology and Research Design Study section, strategies for developing grant applications with appeal to inter-disciplinary study sections, and insights into the dynamics and procedures of inter-disciplinary review. Participants will be encouraged to share experiences and engage in question-and-answer discussion. Professor Liu is a former IMS Medallion and Bernoulli Lecturer and COPSS Presidents’ Award winner, among other honors, and a former member of the NIH GCAT (Genomics, Computational Biology and Technology) Study Section.

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Participate in Student-Focused Elements of the Scientific ProgramThe Sunday night mixer presents an ideal opportunity to obtain feedback on your work in our Annual ENAR Poster ses-sion. This year we inaugurate a Poster Competition for the session. Prizes will be announced within topical areas in the Tuesday morning Presidential Invited Address session. A student winner will be selected within each topical area. Watch for details on entering the competition on the website when the meeting registration goes live.

Additionally in 2012 we will host our first-ever student-organized Invited Paper Session. The session is being designed by ENAR’s new Graduate Student and Recent Graduate Council. This Council has been established by the ENAR Regional Advisory Board to help ENAR better serve the needs of students and recent graduates. It will plan activities to help advance students’ education and careers, improve student networking between institutions, and gener-ally support the scientific and professional development of students and recent gradu-ates, especially those from smaller schools, international students, and minorities.

Educational and Professional Development OpportunitiesBe sure to take advantage of the edu-cational offerings to be held during the meeting – short courses, tutorials, and roundtable discussions. (see pages 67–75)

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Don’t Forget the Popular ENAR Career Placement Services!(See pages 78 & 79)

Network with Your Fellow StudentsBack by popular demand, a student mixer will be held during the evening of Monday, April 2. This is a great way to meet and greet your students from other graduate programs. Don’t miss this opportunity to begin building connections with your future colleagues and friends (see page 4).

Join Us for the Tuesday Evening Social EventReduced registration fee offered to students to attend (see page 5).

Student Membership is Only $20 per Year!

Join ENAR Today at

www.enar.org

S P E C I A L O P P O R T U N I T I E S

for Our Student Members


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HOURS OF OPERATION

Sunday, April 1 4:00 pm – 6:30 pm

Monday, April 2 9:30 am – 4:30 pm

Tuesday, April 3 9:30 am – 3:30 pm

General InformationThe ENAR 2011 Career Placement Service helps match job seekers and employers. To improve efficiency and timeliness for all (and perhaps save a few trees), the placement service has been converted from a paper-based system to an electronic platform with on-site paper backup only. The service includes online registration and electronic uploading and distribution of applicant and employer materials through a password-protected online web-based facility. Visit the ENAR website at: www.enar.org/meetings/career_ center to register for the placement center.

Job announcements and applicant informa-tion will be readily accessed electroni-cally, applicant information will be opened before the meeting, and materials will remain available online for some months afterwards. As in previous years, there will be separate large reading/planning rooms for employers and applicants to review materials, dedicated personnel and a paper message desk to assist Placement Service users, and optional private interview rooms. Employer and applicant reading/planning rooms will provide small numbers of com-puters with Ethernet connections, printers,

and compiled books of listings for general use. However, to make most efficient use of the new Placement Center, we recommend that participants register listings in advance to maximize visibility, explore the database shortly before the meeting and, if attending, have a laptop computer on-site.

Employers Each year numerous qualified applicants, many approaching graduation, look to the ENAR Placement Center to begin or further their careers. Organizations including government agencies, academic institu-tions, and private pharmaceutical firms all utilize the ENAR Career Placement Service. ENAR recognizes the value the Career Placement Service provides to members and, to make it more efficient and effec-tive for both employers and applicants, has introduced electronic registration and an online database of applicant resumes. All registered employers will receive full access to the placement center for up to 3 company representatives, up to 4 job postings, pre-meeting access to the online applicant database of resumes, and access to the employer placement center room. ENAR is also offering those organizations seeking private interview rooms the option to reserve a private room for interviews in 4-hour increments. Please note that if you are planning to interview and participate on-site, you must also register for the confer-ence and pay the meeting registration fee.

Employer Registration The registration fee for employers includes up to four position postings and up to 3 representatives. The ENAR Career Place-ment Center also offers the following services during the meeting:

All registered employers will receive full access to the placement center for up to 3 company representatives, up to 4 job postings, pre-meeting access to the online applicant database of resumes, and access to the employer placement center room.

Employer Resource AreaENAR will have internet access, comput-ers, and printers available in the employer resource room for viewing the applicant resume database. However, for most efficient use we recommend employers have on-site access to a personal laptop computer.

Interview SuitesFor an additional fee, employers may reserve private interview suites each day on a first-come, first-served basis.

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Regular Registration $ 50 $ 60

Student Registration $ 25 $ 35

ApplicantsIf you have an interest in a career in biometrics, you can utilize the ENAR Career Placement Center to get started or get ahead. Many employers attend the ENAR Spring Meeting each year seeking qualified applicants. All registered applicants may register for up to three job classification types, and receive full access to the place-ment center applicant room and the online employer job posting database. Please note that to fully utilize the online database, we recommend applicants register in advance

to maximize visibility, explore the database shortly before the meeting and, if attending, have a laptop computer on-site. If you are planning to interview and participate on-site you must also register for the conference and pay the meeting registration fee.

Applicant Registration The ENAR Career Placement Center provides opportunities for qualified ap-plicants to meet employers and learn about organizations employing biostatisticians.

APPLICANT Registration Instructions, Deadlines, and Fees

EMPLOYER Registration Instructions, Deadlines, and Fees

RECEIVED


Employer(3 reps/4 job postings)

$ 500 $ 550

Private Inverview Room(Per 4-hour increments)

$ 250 n/a

Additional Representatives (Cost per person)

$ 100 $ 125

Additional Job Postings $ 100 $ 125

ALL employers must FULLY complete an online Employer Form located at:

www.enar.org/meetings2012/career_center/index.cfmfor each position listing. Attachments may be included.

ALL applicants must FULLY complete an online Applicant Form located at:

www.enar.org/meetings2012/career_center/index.cfmfor each job classification.

Please note that if you are planning to interview and participate on-site you must also register for the conference and pay the meeting registration fee.

The ENAR Career Placement Center also offers the following services to applicants:

Visibility to EmployersApplicants who register by March 16, 2012 will have their information included in the Online Applicant database made avail-able to all employers prior to the opening of the placement center.

Applicant Resource AreaENAR will have internet access, three computers, and printers in the applicant room for viewing the employer job posting database. However, for most efficient use we recommend applicants have on-site access to a personal laptop computer.


Registration Form – Please print or typeE

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FIRST NAME MIDDLE INITIAL LAST NAME

HIGHEST DEGREE: BACHELORS MASTERS DOCTORATE OR MEDICAL DEGREE OTHER

NAME FOR BADGE IF DIFFERENT SPOUSE/GUEST NAME FOR BADGE

ORGANIZATION

MAILING ADDRESS CITY STATE ZIP CODE COUNTRY

DAYTIME PHONE FAX E-MAIL

Membership in Participating Societies (Check all that apply.) ENAR WNAR ASA IMS IBS

Meeting Fees (To be paid by all applicants.)Registration fees, less a $100 administrative fee, will be refunded if written notice is received by March 1, 2012. Requests for refunds will not be honored after March 1, 2012.

Meeting Registration ENAR/WNAR/IBS Member

$335 ($375 after 3/1) $ ___________

ASA Member (not a member of ENAR/WNAR/IBS) $355 ($400 after 3/1) $ ___________

IMS Member (not a member of ENAR/WNAR/IBS) $355 – $20 IMS contribution = $335 ($375 after 3/1) $ ___________

Nonmember (in any participating society) $465 ($510 after 3/1) $ ___________

Student (With letter from major professor verifying status.) $150 ($160 after 3/1) $ ___________

Nonmember Student (With letter from major professor verifying status.) $185 ($200 after 3/1) $ ___________

Guest $40 ($50 after 3/1) $ ___________

Short CoursesThe short courses will be held on Sunday, April 1. (Indicate course number.)

Member (participating society) SC _______________ SC _____________ Full Day: $250 ($275 after 3/1) $ ___________ Half Day: $160 ($185 after 3/1) $ ___________ Second Half Day: $120 ($140 after 3/1) $ ___________

Nonmember* SC _______________ SC _____________ Full Day: $300 ($320 after 3/1) $ ___________ Half Day: $200 ($225 after 3/1) $ ___________ Second Half Day: $160 ($185 after 3/1) $ ___________

TutorialsThe tutorials will be held on Monday, April 2 & Tuesday, April 3.

Member NonmemberT1 $75 ($85 after 3/1) $85 ($95 after 3/1)T2 $75 ($85 after 3/1) $85 ($95 after 3/1)T3 $75 ($85 after 3/1) $85 ($95 after 3/1)T4 $75 ($85 after 3/1) $85 ($95 after 3/1)T5 $75 ($85 after 3/1) $85 ($95 after 3/1) T6 $75 ($85 after 3/1) $85 ($95 after 3/1)

RoundtablesThe roundtables will be held on Monday, April 2. Space is limited. Preregistration is required. Indicate the number of your 1st, 2nd, and 3rd choices:

1st # ______________ 2nd # ____________ 3rd # _____________

Fee: $35 $ ____________Please make lunch vegetarian YES NO

April 3, Tuesday Night Event & Dinner Regular $100 $ ____________ Student $45 $ ____________

Final Program – Go Green & Save!I would like to receive the Final Abstract Book (please check one) in

Hard Copy Go Green – Online Only (Deduct $ 5.00 from the total)

Membership YES, I want to renew my 2012

ENAR membership or become an ENAR member.

q Regular Member: $90 – Includes electronic access to the Biometrics Journal, JABES Journal and Biometric Bulletin Newsletter

q Regular Member: $100 – |ncludes print subscription of one journal, either q Biometrics Journal or q JABES Journal, and Biometric Bulletin newsletter

q Regular Member: $110 – Includes print subscriptions to Biometrics Journal, JABES Journal, and Biometric Bulletin newsletter

q Student Member: $20 – Includes electronic access to the Biometrics Journal, JABES Journal and Biometric Bulletin Newsletter

TOTAL PAYMENT $____________

The International Biometric Society/Eastern North American Region (ENAR), IMS and Sections of ASA – 2012 SPRING MEETING

FORM OF PAYMENT Check Money Order MasterCard Visa AmEx The check or money order should be in U.S. currency, payable to ENAR.

Credit Card Information

NAME ON CARD SIGNATURE

CARD NO. EXP. DATE

IMPORTANT: If you are paying by credit card and fax

your registration form, PLEASE DO NOT ALSO MAIL the form

– this may result in double payment.

QUESTIONS? Call 703-437-4377 OR e-mail [email protected]

Return Registration Form with payment to:

ENAR Conference ManagerENAR/Wachovia | PO Box 758929 Baltimore, MD 21275-8929

OR Fax 703-435-4390

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Reservation requests will be honored as space allows. You will receive confirmation directly from the hotel. The cutoff date to receive the ENAR group rate is March 5, 2012.

NAME

MAILING ADDRESS

CITY STATE ZIP CODE COUNTRY

DAYTIME PHONE FAX

Please Reserve ______________________ Rooms For _____________________ People.

Arrival Date ____________________ Arrival Time _____________________ Departure Date ____________________

Check-in time is 3:00 pm; checkout time is noon.

Room Preferences

q Single $189 q Double $200 q Smoking q Nonsmoking

q Special Needs

Person(s) sharing with 1.

2.

Reservations

I am guaranteeing my reservation with the following:

q Check q Money Order

q MasterCard q Visa q AmEx q Discover

CARD NO. EXP. DATE

SIGNATURE

Make Your Reservation Online!http://tiny.cc/hyatt_enar

Hotel Registration Form Please print or type

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The International Biometric Society/Eastern North American Region (ENAR), IMS and Sections of ASA – 2012 SPRING MEETING

Return Hotel Registration Form with payment to:

Hyatt Regency Washington on Capitol Hill400 New Jersey Avenue, NWWashington, DC, USA 20001

OR Fax 202-737-5773 OR Call 202-737-1234

http://washingtonregency.hyatt.com

Be sure to mention you are with the ENAR SPRING MEETING

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Eastern North American Region (ENAR) | 12100 Sunset Hills Road, Suite 130 | Reston, VA 20190Tel: 703–437–4377 | Fax: 703–435–4390 | E-mail: [email protected]

Membership Application

NAME

DEGREE TITLE

ADDRESS

CITY STATE ZIP CODE COUNTRY

PHONE FAX EMAIL

MeMbership Type:q regular Member: $90

Includes electronic access to the Biometrics Journal, JABES Journal and Biometric Bulletin Newsletterq regular Member: $100

Includes print subscription of one journal, either q Biometrics Journal or q JABES Journal, and Biometric Bulletin newsletterq regular Member: $110

Includes print subscriptions to Biometrics Journal, JABES Journal, and Biometric Bulletin newsletterq supporting Member: $30q student Member: $20

Includes electronic access to the Biometrics Journal, JABES Journal and Biometric Bulletin Newsletter

I certify that ________________________________________________________________________ is a full-time student.

Signature: __________________________________________ Title: _____________________________________________

A Regular Member who is a member of a Region/National Group, termed Region/Group [R], may elect to become a Supporting Member in another Region/National Group, termed Region/National Group [S]. Supporting Members will pay the International portion of the dues once and pay the additional Regional dues only to Region/National Group [S]. A Regular Member may become a Supporting Member of more than one Region or National Group. A Regular Member At-large may also become a Supporting Member in a Region/National Group of their choice. Supporting Members may not vote or hold any office in Regions/National Groups they support.

please indicaTe Two areas of inTeresT:q Agriculture (01) q Genetics and Heredity (05)q Animal and Veterinary Science (02) q Molecular Biology and Biotechnology (06)q Clinical Trials (03) q Toxicology (07) q Epidemiology (04)

payMenT inforMaTion:

q Enclosed is my check, payable to ENAR (Remittance accepted only in US currency)

q Please charge my membership dues to: q Visa q MasterCard __ q AmEx

Card No.____________________________________________ Exp. Date: __________

Name on Card: __________________________________________________________

Signature: _______________________________________________________________

The International Biometric Society

MAIL TO:

Wachovia Bank/ENARP.O. Box 758929Baltimore, MD 21275-8929

Natural Resources:q Ecology (08) q Forestry (11)q Entomology (09) q Wildlife (12)q Fisheries (10)

Please check one: q New Member q Renewal

Please print or type

MAIL TO:

Wachovia Bank/ENARP.O. Box 758929Baltimore, MD 21275-8929

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Documents

Hyatt Regency Washington on Capitol Hill – …Program Summary 10 – 15 Scientific Program 17 – 61 Special Thanks 63 Presidential Invited Speaker 64 IMS Tweedie Lecturer 65 Short